Development Of New Energy Vehicles Research Articles

Navigating the Energy Crisis：Automakers’ Coopetition Strategies under Dual Credit Policy

To tackle the energy and climate crises and achieve sustainable development, China has designated the development of new energy vehicles (NEVs) as a national strategy.This paper delves into the coopetition strategy of dual-model automakers under the dual credit policy (DCP) using a subsidy-R&D-production three-stage game model, considering government subsidies and consumer preferences. The model explores various strategies, including full competition and different R&D cooperation scenarios for fuel vehicles (FVs) and NEVs. Key findings include: (1) R&D subsidies boost NEVs R&D investments but may not always optimize social welfare. (2) When NEVs technology spillovers are low, firms should fully cooperate; otherwise, the FVs R&D cooperation is optimal, especially with high FVs spillovers. (3) Investments and outputs in both vehicle types positively correlate with technology spillovers, and consumer preferences. Conversely, FVs equilibrium decreases with NEVs credit proportion and fuel consumption disparities. (4) The credit price positively influences R&D investments and outputs of NEVs, but its effects on FVs' R&D investments, outputs, corporate profits, and social welfare vary based on market dynamics. Recommendations include optimizing subsidy policies, supporting low-carbon FVs, enhancing infrastructure, and strengthening DCP regulations to stabilize credit price expectations.

Optimization of emission scheduling in microgrids with electric vehicle integration

In the context of the continuous development of new energy vehicles, an increasing number of electric vehicles (EVs) are being integrated into microgrids, which impacts the operation of microgrids. It is necessary to analyze the emission scheduling of microgrids connected with EVs to ensure the smooth and reliable operation of microgrids with EV integration. This paper aims to realize optimal microgrid scheduling. This article took the case of EV connection with microgrids through orderly charging and discharging. Firstly, mathematical models for each output unit in the microgrid were established. Then, aiming to minimize both the operational cost and pollution emission treatment cost of the microgrid, an emission dispatch optimization model was developed. The whale optimization algorithm (WOA) was chosen as the solving algorithm, and an improved WOA (IWOA) was obtained by optimizing the original WOA in terms of population initialization and position updating parameters. An example analysis revealed that the IWOA demonstrated superior optimization performance compared to other optimization algorithms. In the scenario of orderly charging and discharging, the EVs discharged during peak hours and charged during off-peak hours to balance the microgrid load. The operating cost obtained through the IWOA was 967.25 yuan, and the pollution emission treatment cost was 241.52 yuan, resulting in a total cost of 1208.77 yuan. These results confirm the reliability of the proposed IWOA in solving the model and its applicability in optimizing microgrids with EV integration.

Optimization and Structural Analysis of Automotive Battery Packs Using ANSYS

The development of new energy vehicles, particularly electric vehicles, is robust, with the power battery pack being a core component of the battery system, playing a vital role in the vehicle’s range and safety. This study takes the battery pack of an electric vehicle as a subject, employing advanced three-dimensional modeling technology to conduct static and dynamic analyses. Through weight reduction and structural optimization, an innovative power battery pack design scheme is proposed, aiming to achieve a more efficient and lighter electric vehicle power system. The main research tasks are as follows: Firstly, we designed the main load-bearing components of a certain electric vehicle’s power battery pack and established a three-dimensional (3D) model. Then, the model was simplified according to the actual stress conditions of the power battery pack of the electric vehicle and imported into finite element analysis (FEA) software. Next, based on the fundamental principles of the finite element method (FEM), we conducted static analyses under three conditions: bumpy road sharp left turn, bumpy road sharp right turn, and bumpy road emergency braking. The analysis results indicate that the strength of the battery pack meets the allowable requirements, suggesting that the lower housing design has significant redundancy, providing guidance for subsequent optimization. Finally, through modal analysis, we extracted the first six modes of the power battery box, with the first mode frequency being 33.69 Hz. This suggests that the battery pack may experience resonance during actual operation. Based on the static and modal analysis results, we proposed a structural optimization and lightweight design solution for a certain electric vehicle battery pack and compared it with the pre-optimization data.

Analysis of SWOT Model Analysis BYD Automobile Marketing Strategy

Environmental pollution is a hot issue that the world cares about, and fuel vehicles are one of the main reasons for the greenhouse effect. All countries in the world have also realized this and proposed corresponding policies to stop the further deterioration of this impact. China actively responded to accelerate the development of the new energy vehicle industry through policy support. Among them, BYD, as a pioneer, showed industry leadership. This article will analyze the market of China’s new energy vehicles based on the status of the development of new energy vehicles, and use the SWOT model to analyze BYD’s advantages, opportunities, and risks. Through research on this article, driven by strong policies in the Chinese new energy vehicle market, it has achieved significant growth. As a market leader, BYD comprehensively covers consumer groups, showing a strong market penetration. However, despite the outstanding results, BYD still faces threats and challenges from various aspects such as market competition and technological innovation. Looking forward to the future, BYD needs to continue to optimize the layout of the product and strengthen its core competitiveness to cope with potential risks. Its development direction is expected to maintain a steady rise and continue to lead the vigorous development of China’s new energy vehicle industry.

Research on the Development Trend of New Energy Electric Vehicles in China based on Mathematical Model

As the global economic development moves closer to the direction of green sustainability, the international automobile market pays more and more attention to the development of new energy vehicles. New energy electric vehicle (NEV), as a kind of new energy vehicles, has developed rapidly in recent years due to its characteristics of low pollution, low energy consumption, peak power consumption and adjustment capacity, and has been welcomed by global consumers and governments. The Chinese government conforms to the development of The Times and actively promotes the development of its industry. This paper aims to study the development trend of China's new energy electric vehicles in China, through the establishment of multiple linear regression equation model analysis of different factors of new energy electric vehicles, and using the stochastic comparison model compared the influence of new energy electric vehicles on the traditional energy vehicle industry, and establish the influence factor model, analyze the international policy influence on the development of new energy electric vehicles, in the whole research process to test and the advantages and disadvantages analysis.

An Analysis of Tesla's Disruptive Innovation Strategy

With the rapid development of new energy vehicles, governments and automobile manufacturers are generally aware that environmental protection is an important direction for the development of the future automotive industry, and Tesla, as a representative of the global new energy electric vehicles, has great research significance. In the fierce environment of the automobile market, Tesla has won the leadership position with many innovations. Therefore, the company is considered a disruptive innovation by the public. This paper focuses on whether Teslas innovation is disruptive innovation, and studies Teslas disruptive innovation strategy through literature reading and qualitative analysis. This paper discusses the definition of disruptive innovation, Teslas current innovation status and explores the difference between it and incremental innovation. This paper draws the conclusion that Tesla is a disruptive innovation by considering whether it creates a value network as a breakthrough point. Finally, the paper puts forward some suggestions, including extending the product line, adjusting its price to maintain its competitive advantage and innovation, adjusting the channel level based on local markets, provide more extreme and detailed experiential marketing and after-sales service, so as to promote Tesla's sustainable innovation.

Research and Analysis on the Development of New Energy Vehicles in the Context of Low-Carbon Environmental Protection

Driven by the global wave of low-carbon and environmental consciousness, the new energy vehicle industry is poised for unprecedented development opportunities. As environmental challenges become increasingly severe, governments worldwide have implemented a series of policies to encourage the research and promotion of new energy vehicles. These vehicles not only play a crucial role in alleviating environmental pressures but also foster technological innovation and the transformation of economic structures. This paper, from the perspective of low-carbon and environmental protection, examines the current development status and technological pathways of new energy vehicles, explores the impact of policy support and industry chain construction on their advancement, and provides a forecast of the market outlook. Through a thorough analysis, a better understanding of the role and significance of new energy vehicles in low-carbon environmental protection can be gained, offering scientific foundations for future policy-making and industrial development.

Crisis PR in the New Media Era: the Impact on the Reputation of Chinese New Energy Businesses

The self-transformation of new media presents unprecedented challenges for crisis PR. In recent years, the rapid development of new energy vehicles in China has often led to widespread criticism when facing crisis Public Relations (PR) issues. This study takes Tesla, NIO, and Li Auto, three companies developing new energy vehicles in China. It compares their crisis PR strategies in the new media era, exploring their impact on corporate reputation. By collecting the quantity of cognitive and emotional assessments of positive, neutral, and negative nature, and calculating the conversion between evaluations of different natures, this research finds that incorrect response strategies lead to a decrease in both emotional and cognitive reputations, while successful response strategies primarily enhance cognitive reputation. Successful strategies may involve subjective proactive measures, characterized by swift or preemptive PR, positive emotional attitudes, and sustained responsiveness. This study provides empirical insights into understanding and addressing the challenges of crisis PR in the new media era, offering references for companies to formulate crisis management strategies.

Research on the group effect of new energy vehicles from different policy perspectives

Abstract Policies play a pivotal role in fostering the growth of new energy vehicles. This paper delves into the benefits and risks associated with the development of new energy vehicles under varying policy landscapes. Firstly, the intricate relationship between the competition and growth of new energy vehicles and internal combustion engine vehicles is captured through the application of the extended Lotka-Volterra model. Secondly, a simulation flow diagram is constructed, taking into account the actual mediums of policy impact and drawing insights from diverse research methodologies. This flow diagram enables a comprehensive evaluation of environmental benefits, health risks, and traffic pressure. Finally, a critical evaluation of the actual impact of policies on new energy vehicles is conducted, along with an exploration of the root causes of potential policy paradoxes. The findings reveal that a standalone infrastructure support policy, research and development support policy, or carbon tax policy can, in certain periods, lead to an increase in carbon emissions and traffic pressure. Although the driving restriction policy does not exert negative impacts on the environment, health, and traffic at the national level, it can result in a surge in the total vehicle population. Therefore, it is imperative to adopt a combination of policies to mitigate the potential risks associated with any single policy.

Analysis of New Energy Vehicle Development in China Based on LSTM and ARIMA Models

This study comprehensively analyses the development factors of new energy vehicles in China based on data and literature, adopts principal component analysis to reduce the dimensionality to deal with the influence indicators, and combines multiple regression and LSTM model to predict the development trend of the industry. For the relationship between electrification and the ecological environment, multiple linear regression and ARIMA methods are tried to explore the impact of carbon emissions on the ecological environment. These methods provide a comprehensive perspective for a comprehensive understanding of the development of new energy vehicles and provide a reference basis for future industrial development and ecological environment improvement.

Research on the Social Development of New Energy Vehicles based on XGBoost-SHAP and GA-biLSTM Models

China deeply promotes the implementation of new energy gas vehicle national strategy, new energy automobile industry continues to develop healthily, and gradually become an important force to promote the transformation and upgrading of the global automobile industry. In order to understand the impact of various domestic factors on the development of new energy vehicles, this paper firstly adopts the Delphi method to establish the index system of new energy vehicle development, and establishes the XGBoost-SHAP evaluation model to explore the development of China's new energy vehicles; secondly, it adopts the GA-biLSTM prediction model to forecast the time sequence of the comprehensive development indexes of new energy vehicle industry. Finally, through the social impact analysis of new energy vehicles, a simulation model is established to explore the impact of new energy vehicles on the ecological environment.

Approach towards the Purification Process of FePO4 Recovered from Waste Lithium-Ion Batteries

The rapid development of new energy vehicles and Lithium-Ion Batteries (LIBs) has significantly mitigated urban air pollution. However, the disposal of spent LIBs presents a considerable threat to the environment. Recycling these waste LIBs not only addresses the environmental issues but also compensates for resource shortages and generates substantial economic benefits. Current recycling processes primarily focus on the extraction of valuable metals, often overlooking the treatment of residual waste post-extraction. This project targets the iron phosphate (FePO4) derived from waste lithium iron phosphate (LFP) battery materials, proposing a direct acid leaching purification process to obtain high-purity iron phosphate. This purified iron phosphate can then be used for the preparation of new LFP battery materials, aiming to establish a complete regeneration cycle that recovers lithium carbonate and iron phosphate from waste LFP materials for the production of LFP. The study investigates process parameters such as acid types and concentrations, leaching time, and the number of leaching cycles. The results demonstrate that, after purification, the levels of impurity metals decrease while the iron content increases correspondingly. Under optimized experimental conditions, the dilute sulfuric acid leaching rates of Al, Cu, Ca, and Ni reached 36.0%, 51.4%, 89.5%, and 90.9%, respectively. Furthermore, hydrothermal treatment in dilute phosphoric acid achieved leaching rates of 87.9%, 85.8%, 98.4%, and 99.1% for Al, Ca, Cu, and Ni, respectively. The microstructure characterization revealed significant changes in phase and grain morphology during the leaching process in dilute phosphoric acid, which are likely associated with the liberation of impurity atoms from the lattice. These findings indicate that acid leaching is highly effective in removing impurities from the iron phosphate recycled from waste LIBs.

An Ionization-Based Aerosol Sensor and Its Performance Study.

In recent years, with the rapid development of new energy vehicles, the safety issues of lithium-ion batteries have attracted attentions from all sectors of society. Research has found that during the thermal runaway process of lithium-ion batteries, aerosol emissions usually occur earlier than other gases. Accurate and timely measurement of these aerosol concentrations can help to warn the power battery pack fires. However, existing aerosol sensors are unable to meet the requirements of real-time monitoring and high precision. This article proposes an ionization mechanism based aerosol sensor that works at principles of field emission, field charging and gas discharge, and investigates its static and dynamic response characteristics. The sensor is manufactured and assembled using Microelectro Mechanical Systems processing technology. The sensor exhibits superior performances in terms of range, sensitivity, nonlinearity, repeatability, response time, and other aspects. The study provides a new solution for current aerosol detection with great potential for application.

The Review on Development of New Energy Vehicles in China: Characteristics, Factors and Impacts

Amidst the mounting environmental challenges posed by energy supply, the ascendancy of hybrid and electric vehicles (EVs) as important instruments capable of curbing greenhouse gas emissions and energy consumption has garnered attention. However, existing reviews largely predate the surge in new energy vehicle sales, and prevailing studies often narrow their focus, yielding gaps in the panoramic comprehension. Moreover, the remarkable surge of the new energy vehicle industry in China, galvanized by robust governmental support and technological strides, remains a relatively untrodden path in scholarly exploration. This article undertakes a comprehensive dissection encompassing the categorization, historical evolution, policy ramifications, and ecological reverberations of new energy vehicles within China. Notably, this work illuminates the interdependent nexus of governmental backing, technological ingenuity, and market forces, underscoring new energy vehicles' substantial contributions to abating carbon emissions and stewarding resource reservoirs. Employing predictive modeling, this study augments understanding by proffering insights into forthcoming ownership trends of new energy vehicles. In sum, this review bridges existing gaps in research, furnishing an all-encompassing vista of the new energy vehicle sector in China and its transformative power.

From Trends to Drivers: Key Factors Propelling Electric Vehicle Sales

With the rapid advancement of human economic levels and modern civilization, the automobile manufacturing industry is increasingly confronted with challenges related to energy scarcity and environmental pollution. Low carbon emissions and energy savings have become the main focus of automotive development. Under the influence of government incentives, the sales of household electric vehicles (EVs) have increased significantly, although they still represent a small share of the overall car market. To examine the factors influencing consumer purchases of household EVs, this report integrates both qualitative and quantitative analyses, controlling for single variables. Using linear regression, an empirical analysis was conducted on 18 BYD models with varying ranges and prices. The results indicate a strong positive correlation between driving range, selling price, and EV sales. Looking ahead, the development of new energy vehicles should prioritize longer ranges, high-quality features, and cost-effective performance.

Analysis of BGA Lead-Free solder joints failure behavior based on thermal shock testing

The interconnected solder joints within automotive electronic components are the most vulnerable parts of the structure, and their reliability is crucial for the development of new energy vehicles. This study focuses on automotive ADAS (Advanced Driver Assistance System) devices, analyzing the failure behavior of internal BGA (Ball Grid Array) lead-free solder joints under thermal shock conditions.Through thermal shock testing from −40℃ to 95℃, it was observed that microcracks first appeared in the upper intermetallic compound (IMC) layer of corner solder joints after 1600 cycles. As the number of thermal shock cycles increased, the net-like β-Sn phase in the solder joints gradually transformed into block and dot-like structures. Due to the relatively weak strength between the IMC layer and the Ag-Sn compound region, cracks typically propagated along the boundaries of these areas. Recrystallization occurred in the interface between the solder joint and the upper pad, with the proportion of high-angle grain boundaries increasing from 10.74% to 72.43%. The crack propagation mode changed from initial intergranular to transgranular fracture. Throughout the thermal shock test, the upper IMC layer remained thicker than the lower one, with the lower IMC layer thickness showing a minimum point at 750 cycles.The average thrust force between the solder joints and the substrate decreased more rapidly with thermal shock cycles, indicating that non-solder mask defined pads are more effective in improving structural strength.

The Recent Advancement of Graphene-Based Cathode Material for Rechargeable Zinc–Air Batteries

Graphene-based materials (GBMs) are a prospective material of choice for rechargeable battery electrodes because of their unique set of qualities, which include tunable interlayer channels, high specific surface area, and strong electrical conductivity characteristics. The market for commercial rechargeable batteries is now dominated by lithium-ion batteries (LIBs). One of the primary factors impeding the development of new energy vehicles and large-scale energy storage applications is the safety of LIBs. Zinc-based rechargeable batteries have emerged as a viable substitute for rechargeable batteries due to their affordability, safety, and improved performance. This review article explores recent developments in the synthesis and advancement of GBMs for rechargeable zinc–air batteries (ZABs) and common graphene-based electrocatalyst types. An outlook on the difficulties and probable future paths of this extremely promising field of study is provided at the end.

Optimal Production Strategies with Credit Sharing for Automakers under the Dual-Credit Policy

This paper investigates strategic production selections in scenarios of credit sharing between cooperative fuel vehicle (FV) automakers and new energy vehicle (NEV) automakers under the dual-credit policy. Three coopetition production strategies are formulated: the simultaneous production strategy, the FV priority production strategy, and the NEV priority production strategy. On the basis of these three production strategies, this study examines the optimal strategy for both parties in scenarios of no credit sharing, credit sharing dominated by the FV automaker, and credit sharing dominated by the NEV automaker. The simultaneous production strategy is the most conducive to both parties’ coexistence in the vehicle market, and the FV or NEV priority production strategy can be adopted to realize the Pareto optimization of their total profit in certain applicable intervals. Credit sharing will greatly change both parties’ applicable intervals and optimal strategy selections, and credit sharing dominated by FV automakers has been proven to effectively improve their social welfare with a low credit price. Interestingly, a high credit price is sometimes more important for the development of NEVs than the NEV cruising range and substitutability under the dual-credit policy. This study also demonstrates the impact of the credit coefficient, credit equilibrium, and NEV substitutability on both parties’ production decisions and credit sharing. Our study has important managerial implications and can be utilized as strategic guidance for FV/NEV automakers to pursue coopetition under the dual-credit policy.

Research and Analysis on the Development of New Energy Vehicles in the Context of Low-Carbon Environmental Protection

Research and Analysis on the Development of New Energy Vehicles in the Context of Low-Carbon Environmental Protection

Carbon emission assessment of lithium iron phosphate batteries throughout lifecycle under communication base station in China

The demand for lithium-ion batteries has been rapidly increasing with the development of new energy vehicles. The cascaded utilization of lithium iron phosphate (LFP) batteries in communication base stations can help avoid the severe safety and environmental risks associated with battery retirement. This study conducts a comparative assessment of the environmental impact of new and cascaded LFP batteries applied in communication base stations using a life cycle assessment method. It analyzes the influence of battery costs and power structure on carbon emissions reduction. Results indicate: When consuming the same amount of electricity in a cascaded battery system (CBS), LFP batteries with a retirement state of health (SOH) range between 76.5 % and 90.0 % can reduce 30.3 % of the global warming potential (GWP) compared to new batteries. From the perspective of battery costs, when the price ratio of new to old batteries is greater than 31.0 %, the GWP of batteries retired at 70.0 % SOH is higher than that of new batteries. As the proportion of renewable energy sources in the power structure increases, the GWP of new batteries in 2035 is 15.0 % lower than in 2020. For batteries retired at 80.0 % SOH, their GWP decreases by 12.3 % compared to 2020. This study offers a new approach to determining the retirement point for LFP batteries from an environmental perspective, promoting carbon emission reduction throughout the entire battery life cycle and the sustainable development of the transportation sector.