Towards intelligent electric vehicle power batteries and multi-scenario application vehicle operation safety charging strategies: a review

Li, Shan; Ma, Jian; Zhao, Xuan; Zhang, Kai; Jiao, Zhipeng; Xue, Qifan

doi:10.1039/d4se00291a

Cited by 2 publications

(1 citation statement)

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“…Some scholars have focused on studying the charging efficiency and strategies of new energy vehicles (NEVs). Li et al 8 discussed the impact of charging strategies and environments on the service life of lithium-ion batteries in new energy vehicles. They provided a detailed analysis of various charging methods and proposed an optimized intelligent charging strategy, highlighting future research directions.…”

Section: Incorporating the Diversity Of The Fieldmentioning

confidence: 99%

A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China

Guo,

Zhong

2024

Preprint

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The Chinese new energy vehicle (NEV) industry currently holds significant development potential, attracting more participants. Studying the factors influencing the development of NEVs can provide valuable guidance for existing automotive companies and future entrants, helping to inform their development and improvement strategies. Building on existing research, this paper proposes a Ma-Mi-P framework for analyzing the factors influencing the development of new energy vehicles for the first time. The framework is divided into three levels: Ma (macro-level), Mi (micro-level), and P (personal-level). At the macro-level, the Boruta feature selection algorithm is employed to evaluate the importance of eight indicators: the number of charging stations, gasoline consumption, national disposable income, consumer spending levels, industrial GDP, gasoline benchmark price, material production, and government subsidies. At the micro-level, the random forest algorithm ranks indicators within product performance and brand image modules. At the personal-level, we collect behavioral event information of entrepreneurs and conduct an MBTI personality analysis using fuzzy set qualitative analysis. The study concludes that government subsidies, material production, and the number of charging stations are the most crucial factors at the macro-level. At the micro-level, consumer satisfaction and brand recognition are the key determinants influencing the development of new energy vehicles. Additionally, entrepreneurs with an ENFJ personality have a significantly positive impact on new energy vehicle companies. The proposed Ma-Mi-P framework provides a comprehensive and systematic analysis of the various factors influencing the development of new energy vehicles, addressing the gaps in existing theoretical research. The findings can also offer valuable guidance for current new energy vehicle companies and future industry entrants.

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Section: Incorporating the Diversity Of The Fieldmentioning

confidence: 99%

A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China

Guo,

Zhong

2024

Preprint

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Cooperation and Production Strategy of Power Battery for New Energy Vehicles Under Carbon Cap-and-Trade Policy

Shao,

Peng,

Wang

2024

Sustainability

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Considering the supply chain composed of a power battery supplier and a new energy vehicle manufacturer, under the carbon cap-and-trade policy, this paper studies the different cooperation modes between the manufacturer and the supplier as well as their strategies for green technology and power battery production. Three game models are constructed and solved, respectively, under the collaboration mode of wholesale purchasing, patent-licensed manufacturing, and own R&D + Wholesale purchasing. The equilibrium analysis is carried out. Finally, the influence of relevant parameters is explored through numerical simulation. It is found that (1) the manufacturer’s choice of optimal battery production strategy is influenced by the input cost of green technology, the production cost of power battery, the carbon trading price, and the free carbon quota allocated by the government; (2) the cost coefficient of technological innovation affects negatively the optimal decision-making of the supply chain members, the market demand, and the optimal profit, and it has no impact when the cost coefficient reaches a certain value; (3) carbon cap-and-trade policy can, to a certain extent, incentivize suppliers and manufacturers to carry out technological innovation to reduce carbon emissions in the production process, but we cannot ignore the negative impacts of excessively high carbon trading price on the level of emission reduction and the market demand; and (4) the government should reasonably control the carbon price and carbon quota. The above conclusion will provide reference suggestions for new energy vehicle manufacturers and related suppliers.

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Towards intelligent electric vehicle power batteries and multi-scenario application vehicle operation safety charging strategies: a review

Abstract: New energy vehicles are facing problems such as short-mileage and restricted use environments in the process of popularization and development, and the service life of lithium-ion batteries, as the main...

Cited by 2 publications

References 155 publications

A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China

A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China

Cooperation and Production Strategy of Power Battery for New Energy Vehicles Under Carbon Cap-and-Trade Policy

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