Combustion Engine Cars Research Articles

Science and Technology of Supercapacitor and its Applications

Super-capacitors (SCs) are significant because of their unique characteristics, which include long cycle life, high strength, and environmental friendliness. SCs use electrode substances with high specific surface area and thinner dielectrics. Referring to the energy storage mechanism, all kinds of SCs were reviewed in this review paper; a quick synopsis of the materials and technology used for SCs is provided. Materials such as conducting polymers, carbon materials, metal oxides, and their composites are the main focus. The performance of the composites was evaluated using metrics such as energy, cycle performance, power capacitance, and rate capability, which also provides information on the electrolyte materials. To precisely appraise the state of Charge (SoC) in the super SCs cell module, its identical model o is used. It is expected that this model will accurately capture the features of the cell module, specifically its standing-related self-discharge behavior, and the outcomes of parameter identification directly impact its accuracy. Engine downsizing is a result of the requirement to increase fuel efficiency and lower CO2 and other hazardous pollutant emissions from internal combustion engine cars. However, smaller turbocharged engines have a relatively poor torque capability at low engine speeds. To solve this issue, an electrical torque boost based on SCs may be used to help recover energy during regenerative braking as well as during acceleration and gear changes.

An innovative virtual sensing system for the vehicle-centric evaluation of emissions in the sustainable mobility transition

The objective of the research is to develop a new methodology capable of quantifying the emissions of internal combustion engine cars based not only on their technology but also on the dynamic behavior of the individual vehicle. No complicated exhaust measurement apparatus is needed. Employing just a telematic device equipped with GNSS and an inertial measurement unit, which can be easily attached to the vehicle, we demonstrate how individualised, accurate climate-altering emissions result by using figures extracted from European test databases, appropriately combined with real travelled distances, speeds, and driving style of each individual car. Pollutant emissions are, in this paper, also assessed though in a more general manner, and this represents a starting point for a future complete vehicle-centric emissions evaluation. This research demonstrates that circulating car emissions have to be assessed considering not only the Euro class and type of fuel, but also how the vehicle is driven. In this work a new, implementation oriented methodology is proposed in order to properly merge average European standard emission data with car-based telematic measures to highlight a new paradigm for regulating in a more conscious way the transition of the internal combustion engine car park towards a large scale, sustainable mobility ecosystem. This approach would place greater responsibility on the driver, without leaving anyone behind and without compelling the car scrapping solely based on the Euro class of its engine. The key contribution is ultimately to establish an easy to handle methodology enabling targeted and behavior-based traffic management policies. In fact, through a massive telematics recent dataset, the proposed virtual emission sensing system reveals that an extensive and inefficient use of eco-friendly vehicles produces much more greenhouse gas emissions than older vehicles driven in an environmentally responsible way.

Investigating the Role of Adaptivity in Video Games for Attitude Change

Video games have become one of the most widespread forms of media in the 21st century, bringing interactive digital narratives to over 3 billion people globally. Like other media, video games feature topics from our society, culture, and history. Research has shown that narrative-driven video games have a unique potential to influence explicit and implicit attitudes toward the topics they depict. However, the concrete mechanisms through which video games shape our attitudes remain unclear. Identifying the mechanisms behind the attitude-shaping effect would help to design more effective educational games and simulations. One aspect that reduces the potential of video games to change attitudes is a so-called credibility bias, a phenomenon where information contradicting one’s pre-existing beliefs is deemed less credible. For this reason, our work focuses on employing adaptivity to improve the attitude-shaping effect of video games. We hypothesize that adapting gameplay elements based on players’ pre-existing attitudes will mitigate the credibility bias, leading to greater attitude changes and enhanced game enjoyment compared to a static presentation. We propose assessing players’ attitudes before playing and adapting the game content accordingly, utilizing in-game metrics to track players’ actions to further refine the content. This work focuses on adapting highlights in user interfaces, narrative-related messages, and in-game goals. To empirically test our hypothesis, we have developed two versions of a video game – an experimental version featuring adaptive game elements and a control version with static content. For this proof-of-concept experiment, we have chosen the topic of electromobility, but we designed the adaptive elements to be usable with any topic. The experimental game is a delivery manager simulator featuring electric and combustion engine cars, with the aim of showcasing the usability and advantages of electric cars. Our experimental design involves a pretest-posttest setup with an experimental and a control group. We utilize measures for implicit and explicit attitudes and game enjoyment. This empirical study will bring valuable data reacting to the identified research gap. Should the adaptive approach prove to be usable, it could be widely utilized to improve the attitude-shaping potential of educational games.

Total Cost of Ownership of Electric Car and Internal Combustion Engine Car with Performance Normalization

In the transportation sector, motorized vehicles are currently a contributor to pollution in Indonesia, producing CO2 emissions. In an effort to achieve environmentally friendly and low-carbon motorized vehicles, promoting electric cars to the public is an important strategy that is being pursued by countries throughout the world. The large target of converting ICE cars to electric cars requires a series of analyzes to accelerate efforts to convert the use of electric cars from various angles which will ultimately be successful as a promotional medium for potential electric car users. To carry out this analysis, there is one calculation method, namely calculating the total cost of ownership (TCO) of an electric car. This method has been studied in countries that are concerned with promoting the use of electric cars. In this research, we will present a calculation model for the TCO of electric cars and the TCO of conventional internal combustion engine (ICE) cars as a comparison. The cars analyzed in this research consist of several electric cars and ICE cars according to their respective performance levels, where for each electric car an analysis of several battery ownership schemes is also attempted, namely those owned by the car owner, rental batteries and those owned by the car owner. However, some components can be repaired. The calculation model will consist of capital and operational costs, namely the purchase price, resale value, government subsidies, retailer discounts, battery replacement costs, maintenance, insurance, vehicle tax and energy consumption costs. All data was obtained from literature studies and information from vehicle distributors in Indonesia. The TCO model is analyzed based on the average distance traveled, namely 20,000 km/year for 10 years of driving. The research results show that the TCO of BEVs with a rental battery scheme is cheaper than ICEs for cars with 93, 167 & 210 hp, namely 2,961; 6,227; & 5,633 (USD) and the TCO of ICE is cheaper than BEV with a rental battery scheme on cars with 40 & 95 hp, namely 796 & 5,793 USD. Several components that make up TCO costs will later be proposed to be considered for adjustment so that vehicle purchases can grow significantly. Knowledge from this research can be useful for consumers, product manufacturers, planners, and government policy makers.

Integrated operational model to analyse policies and socio-demography leading to selection of electric vehicle - A case study on Bihar

In the push for sustainability in the power sector, Electric Vehicles show substantial promise. However, they still face hurdles in replacing traditional combustion engine cars, which have dominated the market for decades. Consumer awareness, especially regarding new technologies like Electric Vehicles, remains a significant barrier to adoption. This study aims to bridge the gap between technical aspects and consumer knowledge and a case study is done on the Indian state of Bihar. Using a hybrid Multi-Criteria Decision-Making approach with Triangular Fuzzy Numbers, a customized model is presented to help residents choose the right Electric Vehicle based on their needs and resources. Results are analyzed from customers’ perspective using Quality Function Deployment and conduct Sensitivity Analysis to explore cost trends. This survey examines seven Electric Vehicle models available in India, with MG ZS Electric Vehicle emerging as a potential standout. It's important to note that this research work does not endorse any specific Electric Vehicle model; rather, a mathematical framework is build to guide customers in selecting an Electric Vehicle that suits their requirements.

Beyond the Current State of the Art in Electric Vehicle Technology in Robotics and Automation

The improvement of electric vehicles and their parts is currently the subject of several recent innovations, with an emphasis on advancements in batteries, energy management systems, autonomous features, and charging infrastructure. The current logistics and transportation (L&T) systems comprise heterogeneous fleets made up of both conventional internal combustion engine cars and other vehicle types that use environmentally friendly technology, such as electric and plug-in hybrid vehicles. This helps significantly to the development of the upcoming generations of electric vehicles and promotes a more sustainable and effective ecosystem. This article offers insights into the most recent advancements in the field of electric cars (EVs) as new and innovative EV technologies based on data and statistics from science that may prove to be technically possible by 2030. Potential design and modeling techniques, including digital twins with linked IoT, are discussed in this paper. Additionally, all EV-related topics are covered, including hard-core battery material sciences, power electronics, and powertrain engineering, as well as market and environmental considerations and prospective technological obstacles and research gaps. This investigation is interesting since it offers thorough information on every facet of EVs. In conclusion, we offer to the readers several open issues in the field of EV as well as specific research directions to wrap up our work.

Hydrogen-Powered Vehicles: Comparing the Powertrain Efficiency and Sustainability of Fuel Cell versus Internal Combustion Engine Cars

Due to the large quantities of carbon emissions generated by the transportation sector, cleaner automotive technologies are needed aiming at a green energy transition. In this scenario, hydrogen is pointed out as a promising fuel that can be employed as the fuel of either a fuel cell or an internal combustion engine vehicle. Therefore, in this work, we propose the design and modeling of a fuel cell versus an internal combustion engine passenger car for a driving cycle. The simulation was carried out using the quasistatic simulation toolbox tool in Simulink considering the main powertrain components for each vehicle. Furthermore, a brief analysis of the carbon emissions associated with the hydrogen production method is addressed to assess the clean potential of hydrogen-powered vehicles compared to conventional fossil fuel-fueled cars. The resulting analysis has shown that the hydrogen fuel cell vehicle is almost twice as efficient compared to internal combustion engines, resulting in a lower fuel consumption of 1.05 kg-H2/100 km in the WLTP driving cycle for the fuel cell vehicle, while the combustion vehicle consumed about 1.79 kg-H2/100 km. Regarding using different hydrogen colors to fuel the vehicle, hydrogen-powered vehicles fueled with blue and grey hydrogen presented higher carbon emissions compared to petrol-powered vehicles reaching up to 2–3 times higher in the case of grey hydrogen. Thus, green hydrogen is needed as fuel to keep carbon emissions lower than conventional petrol-powered vehicles.

Електромагнітна небезпека електро- і гібридного транспорту

The purpose of the article is to determine the impact of electromagnetic radiation from electric vehicles. Hybrid and electric cars emit extremely low-frequency electromagnetic radiation (EMR) or magnetic fields. Studies of EMF levels emitted by cars show that they pose a threat to human health. Measurements of the magnetic induction of internal combustion engine cars, electric cars, and hybrid cars confirm that the magnetic field induction of an electric car is twice as high as that of an internal combustion engine car and does not depend on the speed of movement. The magnetic field induction of a hybrid car is greater than that of an electric car and tends to depend on the speed of movement. The magnetic field induction during external charging of an electric vehicle in the cabin is much lower than when driving. The average value of magnetic field induction in the interior of an electric vehicle is 0.85 ± 0.18 μT; Coverage factor K = 2 at a confidence level of P = 0.95. The magnetic field induction of an electric vehicle is twice as high as that of a car with an internal combustion engine and does not depend on the speed of movement. The average value of magnetic field induction in the interior of a hybrid car is 1.28 ± 0.61 μT; Coverage factor K = 2 at a confidence level of P=0.95. The magnetic field induction of a hybrid car is higher than that of an electric car and tends to depend on the speed of movement.The conducted studies show that electrical equipment in electric vehicles and, in particular, in an electric car and a hybrid car is a source of alternating EMF with strong temporal and spatial heterogeneity in the frequency range from 0 to hundreds of megahertz. This is due to the fact that the MF in an electric vehicle and a hybrid car is a superposition of fields from many sources. The direct sources of MF in electric vehicles are traction motors, rechargeable traction batteries, current-carrying elements, various electrical equipment, such as starting and braking resistance, group switches, rheostat units, electrical circuits for ventilation, lighting, heating, etc. Electronic devices on board are usually higher-frequency than MFs due to changes in the driving mode of electric and hybrid vehicles.

Conceptualization of a digital product passport to enable circular and sustainable automotive value chains – the combustion engine use case

Despite stricter emission controls and the planned reduction of newly sold Internal Combustion Engine (ICE) cars, adequate repairing and recycling of old ICE cars remains vital, reflected also by the recent EURO7 standard that explicitly refers to repairability. Digital Product Passports (DPPs) have gained attention as enablers of transparent and traceable value chains and improved product lifecycle management. While the focus has been put on creating DPPs for electric vehicle batteries, research on the potentials and requirements for DPPs for the ICE and its well-known components, like the exhaust gas turbocharger, does not exist. Thus, this study systematically investigates what information such DPP needs to contain to support value chain actors’ sustainability/circularity-related decision-making. A mixed-method approach is applied. The Supply Chain Oriented Process to Identify Stakeholders (SCOPIS) method, as well as two expert workshops (N = 8 and N = 6) and an expert survey (N = 8) served for identifying the stakeholders and their most relevant information requirements. The results consist of a refined and prioritized list of information requirements, a conceptual model of a DPP for the turbocharger, and the presentation of two use cases: refurbishment and recycling. This contribution serves as the foundation for handling ICEs sustainably and circularly.

A Comprehensive Analytical Study of Electric Vehicle’s Dynamics and its Essential Parameters

Electric vehicles (EVs) have become a popular and environmentally beneficial replacement for traditional internal combustion engine cars in recent years. This change has significantly increased research interest in comprehending the dynamics and key parameters of electric vehicles. This paper aims to provide a comprehensive analytical study of electric vehicle dynamics, including an in-depth exploration of critical parameters that influence their performance, efficiency, and safety. By thoroughly examining various aspects related to EVs, this research aims to drive the advancement of EV technology and foster its widespread adoption for a greener and more sustainable future.

ASSESSMENT OF KNOWLEDGE OF YOUNG USERS AND THEIR VIEWS ON E-MOBILITY

The European Union is set to become the world’s first climate-neutral continent in 2050. Achieving such an ambitious goal requires cross-cutting measures in all key sectors of the economy, including transport, which is one of the main sources of emissions in Member States, including Poland. Electromobility is a key instrument for reducing the negative impact of transport on climate and the environment. The current automotive market in Poland, for the most part, is made up of old combustion engine cars. The average age of a passenger car in Poland in 2021 was 14.5 years, 0.2 years more than in 2020. An important point to note is that in 2021, nearly twice as many used cars were imported into Poland as new cars were sold, and this was 11.3% higher than the figure recorded in 2020. At the same time, 48% of the cars were equipped with diesel engines. Thus, it is reasonable to identify the current state of knowledge of e-mobility and its assessment by young consumers (18- to 25-year-olds). How they perceive such vehicles is of great importance. Young buyers are a special group in the automotive market - their purchasing preferences will determine the nature of the car market in the future, including whether it will be zero-emission. Learning about the opinions of young consumers is important. On the one hand, it allows knowledge to be gained about the beliefs, feelings, and level of interest in this type of car and the actions young people want to take regarding purchase and use. On the other hand, knowledge of their attitudes towards electric cars can be the basis for creating more relevant information messages. Such information may also be significant for companies and institutions involved in introducing electric cars to the Polish market and those interested in the issues of new technologies in Poland.

A novel method of using sound waves and artificial intelligence for the detection of vehicle's proximity from cyclists and E-scooters

Outdoor air pollution has been found to have a significant adverse effect on health. When the authors attempted to monitor air quality that cyclists or e-scooter users’ breath during commuting in different locations for health and safety analysis, it was found that the existence of internal combustion engine (ICE) cars has a significant effect on the pollution levels and the monitoring process. To comprehensively study the effect of cars and traffic on air quality that cyclists and e-scooters users experience, a low-cost and reliable system was needed to detect the proximity of cars that have diesel or petrol engines. Video cameras can be used to visually detect vehicles, but in the modern age with the existence of many electric and hybrid vehicles and the need to reduce the cost of instrumentation, there was a need to determine the passing of vehicles near e-scooter and bike users from the combined engine and tires sounds.To address this issue, this study suggests a novel approach of using sound waves of internal combustion engines and tire sounds during the passing of cars, combined with AI techniques (neural networks), to detect the proximity of cars from cyclists and e-scooter users. Audio-visual data was collected using Go-Pro cameras in order to combine the data with GPS location and pollution levels. Geographical data maps were produced to demonstrate the density of cars that cyclists encounter when on or near the road. This method will enable air quality monitoring research to detect the existence of ICE cars for future correlation with measured pollution levels. The proposed method allows for:•The automated selection of sensitive features from sound waves to detect vehicles.•Low-cost hardware which is independent of orientation that can be integrated with other air quality and GPS sensors.•The successful application of sensor fusion and neural networks.

Challenges of Pt-Ni Aerogel PEMFC-Cathode Catalyst Layers Under Automotive-Relevant Conditions

Proton exchange membrane fuel cells (PEMFCs) constitute an emerging technology for the decarbonization of the transportation sector. However, in order for the price of fuel cell electric vehicles (FCEVs) to be comparable to that of internal combustion engine cars, the manufacturing costs of PEMFCs, must be significantly reduced. These costs are mainly related to the Pt-based catalysts used in PEMFCs’ anode and cathode electrodes and, as a result, extended FCEV-commercialization passes by decreasing these Pt loading to a value of 0.06-0.11 mgPt cm-2. Moreover, the automotive PEMFCs suffer from an insufficient durability that is partially due to the corrosion of the carbon support used in state-of-the-art Pt-catalysts, which is in turn induced by the high cathode potentials (> 1.5 V vs. the reversible hydrogen electrode) reached upon PEMFC start-up and/or shutdown.To tackle both these needs, in our previous work we introduced a novel catalyst layer (CL) based on a carbon-free bimetallic Pt-Ni alloy nanochain network (referred to as “aerogel”) which featured an excellent performance and start-up/shutdown durability upon PEMFC operation [1]. In a more recent work, the synthesis of this Pt-Ni aerogel was up-scaled (as to yield ≈ 120 mg of material per batch) and catalyst-coated membrane (CCM) processing methods were adapted and optimized using an automated spray-coating machine that yielded homogenous and high-performing aerogel CLs with a Pt-loading of ≈ 0.3 mgPt cm-2.The decrease of the above loading to the needed values of ≤ 0.1 mgPt cm-2 discussed above is expected to pose a challenge in terms of high current density operation due to limitation in the transport of reactants (oxygen and protons) to such a reduced catalyst area[2]. Part of this performance loss includes the transport of O2 through the ionomer film that generally covers the Pt nanoparticles in the cathode CL. This O2 transport resistance can be quantified via O2 limiting current measurements through which the non-Fickian, Knudsen diffusion through the CL can be quantified[3]. Thus, in this work we present our results in the manufacture and PEMFC-testing of low loading Pt-Ni aerogel CLs, which we tackled with and without the use of an ionomer and benchmarked against equivalently -loaded CLs prepared with a commercial Pt/C catalyst. Our results unveil a relation between ionomer presence/absence, non-Fickian oxygen transport resistance and roughness factor that is comparable to that reported by Kongkanand and Mathias for unsupported, Pt-based nanostructured thin films[4].In addition to this, aerogel electrodes feature a reduced thickness (≈ 5 μm/(mgPt∙cm− 2) that is likely to result in water flooding and ice accumulation at low temperatures and during cold-starts (< 0˚C), respectively. Under the latter, extreme conditions, the water produced by the reduction of oxygen can form ice, which is expected to accumulate within the cathode pore volume and lead to a high oxygen transport resistance[5]. Moreover, the lack of hydrophobicity and of storage capacity (i.e. void volume) within the catalyst layer is susceptible to cause water flooding and/or ice formation, ultimately leading to cell failure[6]. Thus, this contribution will also showcase our results under such low temperature and cold start conditions (in the latter case, at − 10 °C), and do so while considering the combinations of low vs. high aerogel loadings and presence vs. absence of ionomer discussed above. In doing so, this work will provide a holistic picture of the mass-transport effects determining the performance of these aerogel CLs under automotive-relevant conditions.

Optimal Location of Electric Vehicle Charging Station in Reconfigured Radial Distribution Network

Electric vehicles are becoming increasingly popular because they are cleaner-burning and more efficient than combustion-engine automobiles. Due to the diminishing availability of fossil fuels and the carbon emissions produced by cars, electric vehicles (EV) have become a need for mobility in the near future. Electric car charging stations were established as a consequence of the increase in EVs. Electric car charging lowers voltage and increases real power loss in the radial distribution network. In order to mitigate real power loss and provide a stable voltage profile, the charging station has to be placed as efficiently as possible. The current research examines and elucidates the influence of electric vehicle charging stations (EVCS) on the balanced radial distribution network (BRDN) using particle swarm optimization (PSO). There are two steps involved in the planning process. The optimal placement for EVCS [1] in BRDN is identified in the first stage using PSO. The second stage uses reconfiguration to ensure higher EVCS stability. This two-step technique's main goal is to decrease the real power loss due to the placement of charging stations in the radial distribution network (RDN). The correctness of the suggested approach is expounded upon in four different cases. The second, third, and fourth cases use a two-step procedure, which is then compared to the base case. In the base case EVCS is ideally located in BRDN using PSO. The fourth case employs a concurrent two-step optimization approach and demonstrates superior performance compared to other cases. The suggested approach is implemented and evaluated on the IEEE 69 bus BRDN using the MATLAB software.

Are Norwegian car users ready for a transition to vehicle-to-grid technology?

Vehicle-to-grid (V2G) is a technology which enables electric vehicles (EVs) to transfer electricity back to the power network. The V2G technology allows energy systems to balance renewable energy, thus contributing to climate change alleviation. Employing a self-report online survey among Norwegian car users (n = 929) in November 2021, the study aims to investigate how perceptions and beliefs towards the V2G system motivate both EV users and non-EV users (combustion engine car owners as potential future EV users) to utilise the V2G technology in the future. Understanding similarities and dissimilarities in future intentions of V2G use across two groups of car users (i.e., EV and non-EV users) may facilitate segment-specific marketing. The core theoretical framework in the study is a hypothesised model based on the Technology Acceptance Model and the Theory of Reasoned Action. The results show that the theoretical framework substantially explains future V2G use intentions. The model showed that behavioural beliefs related to the use of V2G technology and varying concerns and benefits about this system (e.g., concern over vehicle battery, usefulness in terms of financial and environmental benefits) explain V2G adoption among the groups. A multiple-group structural equation model showed structural stability in associations between the model constructs and intention across EV and non-EV users. However, non-EV users had lower means on central variables (i.e., trust in V2G, perceived ease of use, vehicle battery concern, perceived usefulness, subjective norm, and intention). In accordance with the postulated social cognitive theoretical framework, the study concludes that both groups of car users have a significant belief-behavioural intention to participate in V2G technology. When it comes to behavioural change campaigns, the same measures could be taken into account for both groups of car users. Non-EV users, however, should receive more attention in such campaigns. To promote V2G adoption among car users, particularly among non-EV users, a multifaceted policy approach is needed. This should include financial incentives like tax credits, educational campaigns highlighting EV benefits with V2G contracts, expanding EV charging infrastructure, and developing a public-private V2G infrastructure.

Enhancing electric vehicle market diffusion modeling: A German case study on environmental policy integration

In order to reduce national and global greenhouse gas (GHG) emissions, many countries worldwide have committed themselves to a more sustainable development of their transport sector. Promoting the use of electrical vehicles (EVs) rather than combustion engine cars is one political strategy to achieve a reduction in GHG emissions. To implement targeted and effective promotion measures governments can refer to market diffusion models for EVs. However, in our study we identify that in existing models the consideration of environmental measures is underrepresented. Hence, this paper addresses this gap in current market diffusion models for EVs by particular focusing on environmental effects as additional influencing factors of the market diffusion. Results are drawn for the German car market with a market diffusion simulation until 2050 applying the market diffusion model ALADIN considering the introduction of distinct CO2 tax trajectories. The results are analyzed based on scenarios, where (i) no CO2 tax, (ii) the current governmental plan for a CO2 tax, and (iii) a considerable high CO2 tax is applied. Additional insights when incrementally increasing the CO2 tax are provided. The scenario analysis shows that the market diffusion is highly dependent on the evolution of external factors. A CO2 tax considerably higher than the current governmental plan by 2030 (such as 150€/t, based on its monetary value by 2020) is required to have a meaningful impact on the market diffusion of EVs. Moreover, applying a considerable high CO2 tax leads to a slower growth of BEV and PHEV from 2040 onwards that is compensated by a growth in FCEV vehicles.

Reasons Why Only Kuwaiti Citizens Drive Electric Vehicles despite Being Only a Quarter of the Population

The adoption of fully battery-powered electric vehicles (EVs) in Kuwait is currently at less than one percent of the population, and hence Kuwait has the lowest index rank among countries around the globe. Effectively, only Kuwaiti nationals have the opportunity to own EVs, as there are no fast direct-current charging stations in Kuwait, and Kuwaiti landlords (expats cannot own real estate) do not allow the installation of EV-charging home wall boxes at their rented properties. Given these facts, this paper only focuses on the preferences of Kuwaiti nationals, even though they only constitute 25 percent of the population of Kuwait. To accomplish the present objectives, a quantitative descriptive method (closed-ended questions) was used to collect data from a sample of 227 Kuwaiti nationals who were representative of the owners of half a million internal combustion engine (ICE) cars and that were categorized as early majority consumers. The findings of the present study indicate that over 50 percent of the respondents would prefer to buy an EV in the following three years when certain criteria were satisfied, including government-controlled pricing policies and recharging point availability, high-speed roads, and free EV-dedicated parking spaces. Furthermore, over 40 percent of respondents stated that they would contemplate purchasing an electric vehicle if the price of gasoline or diesel increased by 19 to 50 percent. The findings also indicated that more than 40 percent of respondents believed that EVs are fire- and crash-safe, and roughly 50 percent of the respondents would be willing to pay between 6 and 20% more for an EV because they believe that EVs are ecofriendlier vehicles and are significantly faster than conventional petrol vehicles. Additionally, respondents rewarded those vehicles with an excellent mark because of their ecological, economical, and technological attributes and benefits.

Biofuel technologies: Lessons learned and pathways to decarbonization

AbstractThis Opinion highlights several successful cases of biofuel technologies recently described by the IEA Bioenergy Intertask Report on Lessons Learned. The report discussed the potential of biofuels to contribute to a significant market supply, thus replacing fossil fuels and mitigating global warming, and it underscores the challenges in expanding biofuel production and replicating successful models between countries and regions. Based on the lessons learned from conventional, established technologies, the authors analyzed policies, feedstocks, products, technologies, economics, environmental concerns, social aspects, scalability, and ease of implementation and replication in different countries or regions. There are blending mandates in place around the world to foster the use of biofuels. Dependence on the availability and price fluctuations of crop feedstocks may limit biofuel production in certain circumstances. Legal restrictions on using food crops as feedstocks present obstacles to scaling up production. Temporary constraints related to feedstock costs and availability, as evidenced by changes and postponements of biofuel blending mandates in various countries (particularly during the COVID‐19 pandemic) also pose challenges. Technological hurdles exist for advanced biofuels that implicate premium pricing. Still, 2G ethanol from sugarcane meets very strict feedstock requirements with a carbon footprint so low that only electric vehicles charged in Norway could have life‐cycle GHG emissions at the same level as a 2G ethanol‐fueled combustion engine car. The authors evaluate whether and how much electrification could contribute to advance the decarbonization efforts in different countries. Drawing from these observations, the authors express their viewpoints to assist researchers and policymakers in the energy sector in formulating viable approaches to combat the climate crisis.

A Comprehensive Review for Battery Electric Vehicles (BEV) Drive Circuits Technology, Operations, and Challenges

Electric vehicles (EVs) are gaining more and more traction as a viable option in the automotive sector. This mode of transportation is currently on track, according to current trends, to totally replace internal combustion engine (ICE) cars in the not-too-distant future. The economic system, the energy infrastructure, and the environment are just a few of the areas where electric vehicles could have a major impact. The transportation industry produces the second-most carbon dioxide gas from the combustion of fossil fuels, making it the second-highest contributor to global warming. A lot of people are looking to EVs, or electric vehicles, as a possible game-changing answer to this problem. Since an electric motor drives the electric vehicle’s propeller instead of an internal combustion engine, electric vehicles can reduce their carbon dioxide (CO2) emissions compared to traditional automobiles. If coupled with renewable energy sources, EVs might theoretically become emission-free automobiles. In this paper, we will examine the various EV drive circuit types, including their construction and the benefits and drawbacks of employing each. This article discusses the current state of battery technology with an emphasis on EV batteries. This article discusses the best electric motor for EVs in terms of efficiency, power density, fault tolerance, dependability, cost, and more. Next, we conduct in-depth research into the difficulties and potential rewards of EV adoption in the future. While improvements in areas like charging times and battery performance are encouraging, government regulation of EVs remains a big non-technical barrier.

Evaluation of Future Battery Electric Vehicles as an Environmentally Friendly Transportation Means: A Review

The climate challenge is an energy challenge. thus, policymakers around the world are trying to accelerate the adoption of clean energy technologies. The Global Energy Review said that global CO2 emissions from energy combustion in 2021 reached the highest annual level with an increase of 6% from 2020, The automotive sector is very important to achieve net zero global emissions by 2050 based on the agreement with the world in the Scenario Net Zero Emissions by 2050. in which in 2035 sales of internal combustion engine cars (ICE) will be stopped. In this case, of course, electric vehicles are an alternative to the field of future land transportation that uses batteries as fuel that utilizes renewable energy as a charger for electric vehicles. Electric vehicle charging infrastructure (EVCI) is a key driver of increased electrification mobility shifting away from internal combustion engines given that the specific geographical distribution of a region and its demographics are factors influencing the adoption of electric vehicles. This paper was written to review the state-of-the-art of Battery Electric Vehicle (BEV), a PV energy source in terms of renewable energy utilization, energy generation, batteries, and charging stations. PV generation is extensively reviewed, and although this research is quite extensive, some gaps need to be investigated for further research on commercial and residential aspects as a means of operating batteries for electric vehicle charging stations based on PV and BESS (Battery Energy Storage System). Regulations on the use of battery electric vehicles as an environmentally friendly means of transportation will grow based on government policies from each country