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Research on Ratio of new energy vehicles to Charging Piles in China

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Computer Systems Science & Engineering 2022年第9期42卷 963-984页

作者： Zhiqiu Yu Shuo-Yan Chou Department of Industrial Management National Taiwan University of Science and TechnologyTaipei10607Taiwan

With the widespread of new energy vehicles, charging piles have alsobeen continuously installed and constructed. In order to make the number of pilesmeet the needs of the development of new energy vehicles, this study aims toapply the method of system dynamics and combined with the grey prediction theory to determine the parameters as well as to simulate and analyze the ratio ofvehicles to chargers. Through scenario analysis, it is predicted that by 2030, thisratio will gradually decrease from 1.79 to 1. In order to achieve this ratio as 1:1, itis necessary to speed up the construction of public charging station or privatecharging station. Due to global warming, the attitudes of countries towards fuelvehicles have become increasingly tough. There is huge uncertainty in the growthrate of electric vehicles. Therefore, it is recommended that the construction ofcharging station be deployed in advance to avoid hindering the development ofelectric vehicles in the future.

关键词： new energy vehicles charging piles system dynamic grey forecasting

Purchase willingness of new energy vehicles: A case study in Jinan City of China

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Regional Sustainability 2021年第1期2卷 12-22页

作者： Xueqing Tian Qingling Zhang Yuzhu Chi Yu Cheng College of Geography and Environment Shandong Normal UniversityJinan250358China

Speeding up the promotion of new energy vehicles is an important measure to optimize the energy structure,promote energy conservation and emission reduction,and develop the economy sustainability.The research uses a questionnaire survey to analyze the residents’willingness to purchase new energy vehicles in Jinan Gty of China,and utilizes the binomial logistic regression model and Global Moran's I to explain the impact of three factors(including responden ts'personal characteristics and subjective cognition,products,and social environment)on the purchase willingness of new energy vehicles.According to the survey,75.12%of the responden ts consider buying new energy vehicles in the future,but only 11.66%of the respondents know new energy vehicles well.It can be seen that the respondents in Jinan City generally have an insufficient understanding of new energy vehicles.It may lead to a decline in residents’trust in new energy vehicles,which will in turm affect their purchase willingness.Based on the survey,we find that women who live far from the city center enjoy high incomes and have a low-carbon awareness,generally exhibit a higher willingness to purchase new energy vehicles.Spatial distribution of the purchase willingness has certain aggregation characteristics,showing a positive spatial correlation pattern.Purchase willingness has a certain positive diffusion effect in space,and areas with a higher purchase willingness have a positive driving effect on their surrounding regions.Spatial distribution of the purchase willingness can be used as one of the breakthroughs in promoting new energy vehicles.In addition,safety,price,after-sales service,and infrastruicture of new energy vehicles are important determinants of people's purchase willingness.Among the types of subsidies,financial subsidy is most effective on the residents’purchase wilingness.Our research provides an impor tant information for the promotion of new energy vehicles in the region.

关键词： new energy vehicles Purchase willingness Public acceptance Global Moran’s I Jinan City

Simulation and Analysis of the Effects of Pressure and Temperature on the Output Voltage of Proton Exchange Membrane Fuel Cells

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Journal of Power and energy Engineering 2024年第2期12卷 1-16页

作者： Kashangabuye Bahufite Louis School of Automation Wuhan University of Technology Wuhan China

Proton exchange membrane fuel cell has advantages of high energy conversion efficiency, high reliability, no pollution, low operating temperature and rapid start-up. It has become an ideal method of hydrogen energy utilization and is also ideally suited to be used as the main source of energy for automobiles. Currently, it constitutes a research hot spot in the field of new energy vehicles. Based on the working mechanism of proton exchange membrane fuel cells and empirical models, a terminal voltage dynamic model, an open circuit voltage model and three voltage loss models are established. Matlab/Simulink software is utilized to simulate the model and perform analyses in response to the impact of operating temperature and pressure on its performance. To enhance the efficiency of the proton exchange membrane fuel cell, the operating temperature should be increased in the medium and low current density zones and the operating pressure should be increased in the high current density zone.

关键词： Hydrogen energy new energy vehicles Empirical Models Voltage Dynamic Model

Intelligent Network-Connected new energy Vehicle Technology and Application Under the Dual-Carbon Strategy

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Proceedings of Business and Economic Studies 2024年第2期7卷 79-83页

作者： Honghong Xiao JMCG Jingma Motor Co. Ltd.Nanchang 330001China

In responding to the“dual carbon”strategy,intelligent networked new energy vehicle technology plays a crucial role.This type of vehicle combines the advantages of new energy technology and intelligent network technology,effectively reduces carbon emissions in the transportation sector,improves energy utilization efficiency,and contributes to the green transportation system through intelligent transportation management and collaborative work between vehicles,making significant contributions.This article aims to explore the development of intelligent network-connected new energy vehicle technology and applications under the dual-carbon strategy and lay the foundation for the future development direction of the automotive industry.

关键词： Dual carbon strategy Intelligent network connection new energy vehicles

Deciphering urban traffic impacts on air quality by deep learning and emission inventory

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Journal of Environmental Sciences 2023年第2期124卷 745-757页

作者： Wenjie Du Lianliang Chen Haoran Wang Ziyang Shan Zhengyang Zhou Wenwei Li Yang Wang School of Software Engineering University of Science and Technology of ChinaHefei 230026China Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhou 215123China Alibaba Inc. Hangzhou 310052China School of Computer Science and Technology University of Science and Technology of ChinaHefei 230026China CAS Key Laboratory of Urban Pollutant Conversion Department of environmental science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China USTC-CityU Joint Advanced Research Center Suzhou 215123China

Air pollution is a major obstacle to future sustainability,and traffic pollution has become a large drag on the sustainable developments of future metropolises.Here,combined with the large volume of real-time monitoring data,we propose a deep learning model,iDeepAir,to predict surface-level PM2.5 concentration in Shanghai megacity and link with MEIC emission inventory creatively to decipher urban traffic impacts on air quality.Our model exhibits high-fidelity in reproducing pollutant concentrations and reduces the MAE from 25.355μg/m^(3) to 12.283μg/m^(3) compared with other models.And identifies the ranking of major factors,local meteorological conditions have become a nonnegligible factor.Layer-wise relevance propagation(LRP)is used here to enhance the interpretability of the model and we visualize and analyze the reasons for the different correlation between traffic density and PM_(2.5) concentration in various regions of Shanghai.Meanwhile,As the strict and effective industrial emission reduction measurements implementing in China,the contribution of urban traffic to PM_(2.5) formation calculated by combining MEIC emission inventory and LRP is gradually increasing from 18.03%in 2011 to 24.37% in 2017 in Shanghai,and the impact of traffic emissions would be ever-prominent in 2030 according to our prediction.We also infer that the promotion of vehicular electrification would achieve further alleviation of PM_(2.5) about 8.45% by 2030 gradually.These insights are of great significance to provide the decision-making basis for accurate and high-efficient traffic management and urban pollution control,and eventually benefit people’s lives and high-quality sustainable developments of cities.

关键词： PM_(2.5)concentration forecast Traffic emissions Deep learning Attention mechanism new energy vehicles

Evolutionary Game Analysis of the Production Decisions of Automakers in the Chinese Automobile Industry:A Tripartite Model of Government,Automakers,and Consumers

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Journal of Systems Science and Systems Engineering 2023年第6期32卷 708-728页

作者： Jinhuan Tang Qiong Wu Yiming Chen Yuran Jin Kun Wang School of Economics and Management Shenyang Aerospace UniversityShenyang110136China School of Business Administration University of Science and Technology LiaoningAnshan114051China

Based on the evolutionary game approach,this paper analyzes how the automaker makes rational production decisions under the influence of the government and consumers.A tripartite evolutionary game model of“government-automaker-consumer”is established to explore the interactions under the condition of bounded rationality.The study shows that:1)The increase of credit price and credit ratio will promote the diffusion of new energy vehicles(NEVs).2)The cost premium of NEVs and the shrinking market will slow the spread of NEVs to some extent but will not prevent NEVs from becoming a trend in the automobile industry.However,the cost premium of fuel vehicles(FVs)will accelerate the development of the NEV industry.3)Government subsidies can promote the development of NEV industry to some extent,but they are not always effective.The government can simultaneously implement subsidies for automakers and consumers in the early stages,and choose to implement the subsidy only for consumers in the medium term.Additionally,there is no need to implement the subsidy policy at a later stage.

关键词： Dual-credit policy new energy vehicles tripartite evolutionary game government subsidy

Government subsidies, dual-credit policy, and enterprise performance: Empirical evidence from Chinese listed new energy vehicle companies

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Chinese Journal of Population,Resources and Environment 2023年第2期21卷 71-81页

作者： Lingling Pei Hui Kong Yiyin Xu School of Business Administration Zhejiang University of Finance&EconomicsHangzhou 310018China Business School Chengdu UniversityChengdu 611130China

The development of the new energy vehicle industry has become a key force driving the goals of carbon peak and carbon neutralization.To better guide future strategies,this study investigates the dual impact of subsidy and dual-integral policies on the performance of new energy vehicle enterprises.This study first theorizes the influential mechanism according to the institutional-based approach and technical innovation theory,and then collects data from listed companies in the new energy vehicle industry from 2016 to 2020.The hypotheses are examined using a two-way fixed-effects model.The findings show that:(1)subsidy policies are can still improve enterprise performance,but not through green technology innovation;(2)the dual-credit policy can improve enterprise performance through green technology innovation;and(3)under current policy conditions,with subsidies declining annually,the interaction effects between the subsidy and dual-integral policies will also decrease.Thus,this study suggests that non-monetary industrial policy,represented by the dual credit policy is a more effective alternative to government subsidies.

关键词： new energy vehicles Enterprise performance Dual-credit policy Government subsidy policy Green technology innovation

Role of local governments in fostering the development of an emerging industry: A market-oriented policy perspective

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Frontiers of Engineering Management 2020年第3期7卷 447-458页

作者： Jun JIN Maureen McKELVEY Ying DONG School of Management Zhejiang UniversityHangzhou 310058China School of Business Economics and LawUniversity of GothenburgSE-40530 GothenburgSweden School of Economics and Management Zhejiang University of Science and TechnologyHangzhou 310023China

This research investigates the role of local governments in stimulating an emerging industry and focuses on the specific growth of the new energy vehicle industry in Hangzhou,China.This research confirms that enabling firms to access emerging technology,acquire financial support,and touch customers and/or suppliers are critical to foster the emergence and development of industries.Moreover,the primary contribution of this study is to emphasize the support of the local government in the development of emerging industries on the perspective of the creation of a large-scale market demand.The creation of large-scale market demand may inspire actors to be proactive in responding to these incentives;thus,public and private actions may help increase the accessibility to technology,infrastructure,and finances.Hence,a market-oriented policy that incentivizes the creation and expansion of market demand among diverse public and private actors should be seen as the key issue for the emergence and growth of emerging industries.Policies should also be adopted promptly with the development of the market.

关键词： market demand local government new energy vehicles

基于复杂网络的新能源汽车充电设施使用效率研究

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