Internal Combustion Engine Vehicles Research Articles

Can Electric Vehicle Carsharing Bridge the Green Divide? A Study of BlueLA’s Environmental Impacts among Underserved Communities and the Broader Population

This study aims to evaluate the potential of electric vehicle (EV) carsharing services to address social and environmental disparities in urban transportation through an evaluation of BlueLA, a one-way station-based carsharing service in Los Angeles, California. BlueLA provides a clean and affordable mobility option in underserved communities that face significant air quality burdens and have historically been excluded from environmental benefits. By incorporating BlueLA trip activity data from January 2021 to December 2022 (n = 59,112 trips) and an online user survey implemented in early December 2022 (n = 215 responses), we estimate the impacts of BlueLA on personal vehicle ownership patterns, vehicle miles traveled (VMT), and associated greenhouse gas (GHG) emissions. The results show an overall net reduction in VMT and GHG emissions of 463,845 miles and 656 metric tons, respectively, among the BlueLA user population (3074 registered users). When disaggregating impacts by BlueLA member type, our findings show a net reduction of 234 and 371 metric tons in GHG emissions for Standard (general population) and Community (low-income qualified) members, respectively. Additionally, our socio-demographic analysis highlights clear disparities between these two member groups, with Community members typically having lower incomes (i.e., 74% earning below USD 50,000 annually); lower educational attainment (i.e., 46% with at most an associate’s degree); and larger households (i.e., 23% living in households of four or more) compared to Standard members (i.e., 19% earning below USD 50,000, 24% with at most an associate’s degree, and 9% in households of four or more). Moreover, when comparing the VMT and associated GHG emissions due to BlueLA, we find that the presence of BlueLA reduces VMT and GHG emissions by 34% and 48% respectively, and each BlueLA vehicle replaces 16 personally owned vehicles (shed and postponed purchases). Last, when comparing the emissions produced by the electric fleet of BlueLA to those of a comparable fleet of internal combustion engine vehicles, we find that the use of an EV fleet reduces GHG emissions by 43% in comparison. The BlueLA carsharing service has led to notable net reductions in VMT and thus GHG emissions, with a major share of these reductions observed among Community members.

Research on the New Power of Car Making Ideal Car

In response to the escalating depletion of fossil fuel reserves and the detrimental environmental impacts of conventional internal combustion engine vehicles, the global automotive industry is undergoing a transformative shift towards clean, sustainable, and energy-efficient new energy vehicles (NEVs). This article scrutinizes the remarkable ascent of Ideal Cars, a prominent player in the burgeoning Chinese NEV market. In light of these developments, this scholarly examination explores the multifaceted determinants underpinning Ideal Cars' remarkable trajectory, encompassing its foundational evolution, distinctive technological orientation, nuanced user-centric approach, financial performance, scene-based marketing strategies, and innovative organizational structure. This comprehensive analysis underscores the imperative nature of consumer-oriented product design, the psychological aspects of consumer satisfaction, and the paramount influence of market dynamics in shaping the success of high-end automotive ventures. Ideal Cars' unprecedented journey serves as an instructive case study for the prospective evolution of the NEV industry in China and globally.

Speed Change Pattern Optimization for Improving the Electricity Consumption of an Electric Bus and Its Verification Using an Actual Vehicle

In this study, we focused on the eco-driving of electric vehicles (EVs). The target vehicle is an electric bus developed by our research team. Using the parameters of the bus and speed pattern optimization algorithm, we derived the EV’s eco-driving speed pattern. Compared to the eco-driving of internal combustion engine vehicles (ICVs), we found several different characteristics. We verified these characteristics with actual vehicle driving test data of the target bus, and the results confirmed its rationality. The EV’s eco-driving method can improve electricity consumption by about 10–20% under the same average speed.

A REVIEW ON ELECTRIC VEHICLE

Plug-in hybrid electrics vehicles (PHEVs) have been extensively studied, and advancements in power electrics and energy storage have made them quite competitive with traditional internal combustion engine vehicles (ICEVs). By using optimized control strategies and energy management systems (EMS), PHEVs can become even more efficient. In my own words, PHEVs are vehicles that combine the benefits of electric and gasoline power to provide a good driving range and fuel economy. Battery and super capacitor technologies are also being explored to increase the energy capacity of PHEVs. It's exciting to see how these advancements are shaping thefuture of transportation

Modeling and Validation of Driving Performance of Electric Vehicle Converted from Internal Combustion Engine Vehicle

Modeling and Validation of Driving Performance of Electric Vehicle Converted from Internal Combustion Engine Vehicle

The cost of aggressive electrification targets – Who bears the burden without mitigating policies?

To reduce greenhouse gas emissions, governments worldwide have set aggressive targets for a transition from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs). Considering California’s electrification goals for the light-duty vehicle sector as a case study, we estimate the economic cost of achieving aggressive electrification targets based on total cost of ownership (TCO) analysis. When TCO estimates incorporate both technology costs and relevant household factors (income, fleet size, dwelling type), EVs reach cost parity with ICEVs for most consumer segments in the next decade, around 2032 or later. However, the share of households with cost benefits or consumer surplus from the EV transition does not reach 100% even by 2035 without mitigating policies and the benefits and loss from EV adoption vary across sociodemographic groups over the transition period. Before 2030, high-income (middle-income) households bear an average of 35% (59%) of the $2.8 billion transition cost; and after 2030 out of the total 2 billion transition cost incurred in this period low-income households incur an average 41% of the loss. These findings highlight the long-term need for mitigating policies like monetary incentives to achieve aggressive electrification targets even if TCO parity is achieved at the vehicle-level and the temporal distribution of the household segments that will need these policies to transition to EVs.

Sustainable Driving: Zero-Emission Vehicles & Eco-Practices

Addressing vehicular emissions is crucial for safeguarding both human health and the environment. This study explores strategies to mitigate CO2 emissions from vehicles, focusing on adopting zero-emission vehicles (Electric vehicles) and promoting eco-friendly driving practices. By examining six scenarios, including measures to reduce emissions from existing Internal Combustion Engine (ICE) vehicles, the study predicts future CO2 emission trends. Moreover, the analysis incorporates the social cost of carbon (SCC) and evaluates its environmental impact and toxicological implications. The findings highlight the effectiveness of transitioning to 100% electric vehicle fleets and implementing eco-driving practices in significantly reducing future CO2 emissions. Additionally, embracing eco-driving techniques for current ICE vehicles emerges as a viable strategy for addressing current air pollution concerns while promoting a healthier environment

Review on wireless EV charging systems

The advent of electnc vehicles in our daily lives has led to a growing need for charging infrastructure. In contrast to internal combustion engine (ICE) vehicles, electric vehicle charging takes a considerable amount of time. Several wireless charging systems for moving electric transport have been developed to address this issue, but each comes with its own set of usage limitations By using inductile wireless charging systems, it is possible to transfer massive amount of energy but at the cost of limited transmission distance. Optical charging systems provide theoretically unlimited transmission range, but they have low efficiency and are susceptible to any obstacles in radiation line.

Evaluation of PV-based Buck-Boost and SEPIC Converters for EV Charging Applications

In recent decades, environmental issues have become an area of greatest concern due to changes in global climate conditions. The transportation sector is a major contributor to carbon dioxide emissions, accounting for more than 22.9% of total carbon dioxide emissions. At present, most vehicles run on gasoline/diesel as fuel which is unsustainable and unviable as fossil fuels produce carbon emissions and fuel costs are rising. To address these issues, electric vehicles (EVs) offer an attractive solution as alternative to internal combustion engine vehicles that use electricity as an energy source. It is logical to use renewable energy to charge vehicles, which makes renewable energy an end-to-end clean energy source. In electric vehicles, energy conversion plays an important role. In the energy conversion process, alternating current (AC) can be converted to direct current (DC), or direct current can be converted to alternating current. In EV fast charging applications, DC-to-DC conversion is used, which requires DC-to-DC converters. In this paper, a detailed evaluation of the Buck-Boost and Single-Ended Primary Inductance Converters (SEPIC) with PV as input is analyzed for EV charging applications to make it end-to-end clean energy. For this purpose, a 5-by-5 PV system with a Buck-Boost, SEPIC converters with particle swarm optimization technique is considered, which is simulated in a MATLAB/SIMULINK environment. The simulation results showed that the ripples in output are minimal in SEPIC which supports the smooth and efficient charging of EV battery.

Lightweight Composite Applications in the Structural Design of Quadricycles

Due to the increasing number of internal combustion engine vehicles, fossil fuel sources have decreased drastically in the last century. In addition, the concerns about global warming caused by vehicle emissions have led automotive manufacturers to search for new alternatives to transport. Quadricycles have started to be seen as future transport vehicles due to their smaller design and lower energy consumption when compared to conventional vehicles. Furthermore, they are also considered to prevent increasing traffic jams in metropolitan areas. The lightweight design of a quadricycle is crucial since its weight would affect energy consumption. On the other hand, because of their minimalistic design, crashworthiness is another factor that must be considered in the structural design of quadricycles for the safety of occupants in case of a collision. Composites are one of the most promising materials for manufacturing lightweight structures due to having a high strength-to-weight ratio compared to conventional metals. In this study, different body designs and optimizations of quadricycles are introduced. Comparisons are made between conventional metals and composite materials used in quadricycles in terms of weight and stiffness.

A benchmarking analysis on electric vehicle emissions of leading countries in electricity generation by energy sources

A benchmarking analysis on vehicle emissions has been performed in this study. Sport Utility Vehicle (SUV) powered by electricity is taken into consideration in emission analysis. Calculations have been conducted for leading G20 countries in certain energy sources in electricity generation. According to the analysis, most optimal results are obtained in Volatile Organic Compounds (VOC), Carbon Monoxide (CO), Particulate Matters (PM10 & PM2.5), Sulfur Oxides (SOx), and Carbon Dioxide (CO2) emissions, if the vehicle is charged in France. Only Nitrogen Oxides (NOx) emissions are calculated as to be the lowest values in Canada, compared to other countries. Emissions of an average SUV Internal Combustion Engine Vehicle (ICEV) powered by gasoline are also added to the comparison.

Utilizing an integrated AHP-COPRAS approach for battery selection in electric vehicles

Internal combustion engine vehicles provide better performance and longer-range using fossil fuels such as gasoline and diesel. However, fossil fuels are non-renewable and cause environmental pollution, alternative fuels such as blends of ethanol and biodiesel, hydrogen etc have been sought for these vehicles. On the other hand, some researchers prefer to design alternative vehicles such as hybrid and electrical vehicles, instead of changing the fuel type. Among the studied topics for alternative vehicles, the battery is one of the most important components, especially in electrical vehicles. Batteries are diversified with different criteria such as battery life, nominal voltage, energy density, volumetric energy density, specific power, operating temperature, and production cost. In this study, the expert perspective was utilized when selecting the battery type to be employed for the energy source through utilizing the Integrated Analytical Hierarchy Process (AHP) - Complex Proportional Assessment (COPRAS), a multi-criteria decision-making approach. Various batteries such as Lead-acid (Pb-acid), Nickel-cadmium (Ni-Cd), Ni-MH, Sodium Nickel Chloride (Zero Emission Battery Research Activity-ZEBRA), Lithium –Ion (Li-Ion) Battery were evaluated in terms of different criterion. Among the alternatives the Li-ion battery type is chosen as the best option and the Ni-Cd battery is the least chosen alternative.

Electric Light Good Vehicles in Singapore

Research and efforts for implementing electric vehicles (EVs) are rapidly increasing. Most light goods vehicles (LGVs) in Singapore are diesel-propelled internal combustion engine (ICE) vehicles in 2023. However, the number of electric light goods vehicles (eLGVs) is exponentially increasing, indicating a shift towards economically and environmentally resilient options. This study examines the combined economic, environmental, and operational impacts of implementing eLGVs in Singapore, which distinguishes from previous research that analysed each aspect individually. Considering data and inputs from a specific company, lifecycle cost and emissions analyses were conducted comparing EVs and ICE vehicles. In addition, a survey on operations was conducted targeting respondents with eLGVs in their fleet. Findings indicate that, in Singapore’s context, eLGVs can potentially reduce costs, and savings grow with vehicle utilisation, assuming battery lasts 10-years with minimal degradation. Regarding the environmental impact, although the production of EVs results in higher greenhouse gas emissions, emissions from usage are much lower for eLGVs and further reduced with vehicle usage, resulting in overall lower emissions. Operational challenges identified relate to eLGVs charging time and infrastructure. Recommendations to motivate companies to transition to eLGVs are provided, and an ‘expected lifecycle emissions calculator’ created to compare various types of vehicles.

New method of assessment of technical condition of vehicle internal combustion engines in the course of their long-term operationх длительной эксплуатации

Introduction (problem statement and relevance). Modern control over the vehicle engine technical condition is performed by measuring the coolant temperature and oil temperature.The purpose of the study is to examine the regularities of engine oil aging with determination of the causes of change of oil performance indicators, assessment of its admissible state and identification of optimal timing for its replacement according to the actual condition.Methodology and research methods. The results of bench and operational tests of three modern engine oils at long-term run in the KAMAZ family engines were analysed. Scientific novelty and results. The article presents the justification of usage of blow-by, which characterizes the rate of wear of the main friction surfaces inside the cylinder-piston and valve train group of parts, as an objective indicator of the engine technical condition.Practical significance. For further research, the problematic issues regarding technical condition quality control and service life increase for the vehicle internal combustion engine have been outlined.

Comparative Analysis of Operational Advantages and Disadvantages Between Conventional Internal Combustion Engine Vehicles and Electric Vehicles based on Tesla

The automotive industry is undergoing a transformative phase driven by concerns over environmental sustainability, energy efficiency, and technological advancements. In this context, the shift from conventional internal combustion engine vehicles to electric vehicles (EVs) has emerged as a focal point. This paper conducts a comparative analysis of operational pros and cons between conventional internal combustion engine vehicles and electric vehicles, using Tesla as a case study. This paper undertakes a comprehensive comparative analysis of financial and operational aspects among leading automotive companies: Tesla, Volkswagen, and Toyota. This comparative exploration highlights the transformative potential of the new energy vehicle sector.

(Keynote) Rapid Thermal Management for Fast Charging of Energy-Dense Lithium-Ion Batteries

Charging time trauma refers to the pain experienced by electric vehicle (EV) owners when the ‘refill’ time is significantly longer than that of traditional internal combustion engine vehicles. Worsening this trauma is the inconsistency of EV charging; for example, the same EV may take five times longer to charge on a cold day. Faster charging will alleviate this pain point and aid in the mass adoption of EVs, crucial for meeting near-term carbon emission goals. Reaching this goal will require smarter and more rapid thermal management to provide significantly faster safe charging.The results from the 2022 Nature article “Fast charging of energy-dense lithium-ion batteries” (DOI 10.1038/s41586-022-05281-0) where 265 Wh/kg lithium-ion pouch cells were charged from 0-70% in less than 12 minutes, 2,000 times in a row before end-of-life, will be presented. These cells used only proven materials, including a liquid electrolyte made from industrially-used components, and energy-dense, EV-grade electrodes. Key to success was smart cell thermal management. More recent advancements, including multi-cell battery-level data, will also be discussed. Figure 1

Two-Speed Transmission Structure and Optimization Design for Electric Vehicles

The trend in the global automotive industry is moving towards electric vehicles that do not emit exhaust gases and use eco-friendly fuel. Electric vehicles are more eco-friendly compared to internal combustion engine vehicles, as they emit less carbon dioxide and pollutants. Research and development are actively underway to produce new electric vehicle models in the rapidly growing electric car market. In this study, a 2-speed transmission for electric vehicles, applicable to 300 Nm-class electric cars, has been developed. The 2-speed transmission structure enables efficient energy use and utilizes a planetary gear set and wet multi-plate clutch, which are effective in the power transmission process. The 2-speed transmission developed through the research results of this paper has a compact structure optimized for electric vehicles. The design feasibility of the transmission was verified through performance tests of the prototype, contributing to fuel efficiency improvement and environmental enhancement.

Routing a mixed fleet of electric and conventional vehicles under regulations of carbon emissions

This paper seeks to optimise fleet management for companies that utilise both internal combustion engine vehicles (ICEVs) and electric vehicles by considering various costs, including fixed costs, variable costs, time window penalty costs, fuel costs, and electricity consumption costs. Additionally, the study examines the influence of four types of regulations, i.e. carbon cap, carbon tax, carbon trading, and carbon offsetting, on carbon emissions and fleet configuration. The optimisation model was solved using a Clarke-Wright savings heuristic algorithm followed by an improved adaptive genetic algorithm (IAGA), and a sensitivity analysis was conducted under different regulatory policies. The results show that all four types of regulations can effectively reduce fleet emissions. While carbon prices have a greater impact on carbon regulations than carbon quota, carbon trading was more effective under similar circumstances. Therefore, governments should implement appropriate regulatory strategies to reduce energy consumption and encourage enterprises to reduce their emissions.

Research on Carbon Emission Characteristics and Mitigation Pathways in the Vehicle Fuel Cycle: A Case Study of Guangdong Province

This study presents a comprehensive analysis of vehicle ownership, energy consumption, and carbon emissions in Guangdong Province, China, from 2020 to 2035 under different scenarios. Key findings highlight the province’s pursuit of carbon peak goals and provide valuable insights into strategies to achieve them. Vehicle ownership in Guangdong is projected to exceed 48 million by 2035, which represents a doubling from 2020. Under both scenarios, internal combustion engine vehicle ownership will peak around 2030 and then gradually decline, while under the enhanced scenario, electric vehicle ownership will exceed 40% by 2035. Enhanced vehicle energy efficiency and reduced annual mileage will lead to a 17% reduction in gasoline and diesel consumption by 2035 in both scenarios. At the same time, there will be a substantial five- to six-fold increase in electricity consumption for vehicles compared to 2020. Both scenarios peak in carbon emissions before 2030, with the enhanced scenario achieving this peak a year earlier. The enhanced scenario outperforms the baseline, reducing carbon emissions by about 21.2% from the peak and 8% relative to 2020. Pure electric vehicles exhibit a significant advantage in reducing carbon emissions per vehicle compared to their internal combustion engine counterparts. Encouraging new energy vehicles, especially pure electric ones, accelerates the carbon emissions peak and lowers overall peak emissions. Accelerating the adoption of electric vehicles, reducing per-vehicle fuel consumption and annual average mileage, and optimizing transportation modes are crucial for carbon peaking from the vehicle fuel cycle. Policy recommendations focus on promoting new energy vehicles, optimizing transportation, and advancing research and technology.

Optimizing Electric Vehicle Charging Station Location on Highways: A Decision Model for Meeting Intercity Travel Demand

Electric vehicles have emerged as one of the top environmentally friendly alternatives to traditional internal combustion engine vehicles. The development of a comprehensive charging infrastructure, particularly determining the optimal locations for charging stations, is essential for the widespread adoption of electric vehicles. Most research on this subject focuses on popular areas such as city centers, shopping centers, and airports. With numerous charging stations available, these locations typically satisfy daily charging needs in routine life. However, the availability of charging stations for intercity travel, particularly on highways, remains insufficient. In this study, a decision model has been proposed to determine the optimal placement of electric vehicle charging stations along highways. To ensure a practical approach to the location of charging stations, the projected number of electric vehicles in Türkiye over the next few years is estimated by using a novel approach and the outcomes are used as crucial input in the facility location model. An optimization technique is employed to identify the ideal locations for charging stations on national highways to meet customer demand. The proposed model selects the most appropriate locations for charging stations and the required number of chargers to be installed, ensuring that electric vehicle drivers on highways do not encounter charging problems.