Development Of Electric Vehicles In China Research Articles

Analysis of New Energy Electric Vehicle Development in China Based on Machine Learning

New energy vehicles are an inevitable trend in the future development of the automotive industry. Therefore, it is important to study the development prospects of new energy vehicles. This paper analyzes the main factors of new energy vehicles through the method of machine learning, and predicts the development of new energy vehicles in the next decade. The research reveals that international competition and collaboration, government policies, and technological advancements are the primary factors influencing new energy vehicles. At the same time, although the profit growth rate of new energy vehicles occasionally slows down, it still maintains a growth trend overall. It is expected that the research in this paper can contribute to the further development of the new energy vehicle industry.

Mathematical Analysis of the Impact of French Standardization Strategy and Electric Vehicle Development on the Breakthrough Development of EVs in China

The problems of operating range and costs are the two most critical bottlenecks restricting the extensive application of electric vehicles (EVs) in China and some other countries. There are also some prominent problems in China’s EVs, which lead to poor competitiveness of EVs compared with traditional internal combustion engine vehicles. This paper analyzes the key mathematical factors restricting the development and popularization of EVs in China from the aspects of strategic policy, sales situation, and self‐problems. For the best‐selling family cars in China, select the representative models with the same body structure, and make statistics on various parameters most concerned by consumers, establish a database through data statistics and analysis software. Through summarizing France’s standardization development strategy and relevant issues reflected by the development data of its EVs, this paper puts forward the hypothesis leading the development of EVs through standardization to enhance their competitiveness, gives the specific suggestions, and briefly analyzes the feasibility from the aspects of product situation. The research content of this paper provides a certain basis and ideas for the future research work.

Water resource impacts of future electric vehicle development in China

In China, vehicle electrification is developed as a way to decouple people's increasing demand for on-road transport and concerns for adverse environmental impacts. Replacing conventional fuel with electricity not only yields impacts on air pollution and greenhouse gas emissions, but also on water resources. This study addresses such impacts for the first time. Based on China's existing plans, we expect China's future electric vehicles will grow from 5 million in 2020 to 80 million in 2030, requiring 47 to 335 TWh of electricity supplies respectively. In order to produce such amount of electricity, under a baseline scenario, 42.60 million m³ and 1.09 billion m³ of water is projected to be consumed and withdrawn in 2020, respectively, which are expected to grow to 324.45 million and 8.56 billion m³ in 2030. Deploying renewable energies offers considerable potentials cutting electric vehicles' indirect impacts on water resources by more than 20% as their productions require less water inputs than coal-fired power plants. Changing cooling technologies' impacts differ by regions, increasing water consumption in southern regions while reducing water consumption in the north. However, if water consumption avoided from avoiding conventional fuel productions is taken into account, compared to the counterfactual scenario where the same number of traditional vehicles will be deployed, future electric vehicles in China will lead to net decreases of 19.3, 64.3 and 89.7 million m³ of scarce water consumption nationally under baseline, high renewable and cooling technology change scenarios in the electric power sector respectively.

Exploring the development of electric vehicles under policy incentives: A scenario-based system dynamics model

Recently, the energy scarcity and environmental pollution have greatly promoted rapid development of the electric vehicles (EV) industry. In this context, we established a scenario analysis using system dynamics model to analyze the development of EV in China under policy incentives. Four scenarios were set in this paper: scenario 1 (Without any policy), scenario 2 (Only direct policy), scenario 3 (Only indirect policy), scenario 4 (Both direct & indirect policy). It is shown that the EV industry was in preliminary stage in 2010. After a period of development, in 2040, the total amount of EVs will reach 4.03, 8.61, 4.2 and 8.85 million in scenario 1–4. The results indicate that China's EV market penetration is mainly dominated by state policies, especially the financial supports. Reducing the governments’ financial supports for EVs will put EV manufacturers at a cost disadvantage in the automobile markets. In addition, because of our emerging carbon market and low average carbon price, participating in carbon trading market cannot promote a rapid growth by stimulating investment passion. In all, cutting the financial supports is not a good option, because the large-scale market penetration still requires the clear and strong policy incentives.

Electric vehicle development in China: A charging behavior and power sector supply balance analysis

Possession of motor vehicles in China has been rising fast, along with continuous economic growth, social development and improvements in living standards, causing severe energy and environmental stress. To relieve the stress, China is promoting electric vehicles as good alternatives to conventional vehicles. By 2020, the accumulated production and sales of electric vehicles are expected to reach five million. Large-scale connection of electric vehicles to the power grid would inevitably bring challenges to the power sector. In this paper, an electric vehicle and multi-region load-dispatch grid-structure-based (EVMLG) mathematical model is presented, aiming to investigate the interaction between electric vehicles and the power sector. Impacts of charging behaviors are carefully considered. Through case studies, we conclude that (1) the development of electric vehicles will influence regional generation portfolio and operation pattern of the power sector, and increase the utilization of renewables, (2) guided charging can adapt to the power sector, and lead to better economic and environmental benefits, (3) electric vehicles are suitable to be deployed in resource-rich regions, and (4) the development potential of electric vehicles in China is huge from the viewpoint of power supply capacity.