scholarly journals A Comprehensive Study on Safety of New Energy Vehicles

2021 ◽  
Vol 8 ◽  
pp. 66-75
Author(s):  
Zhenpo Wang ◽  
Zekun Zhang ◽  
Ni Lin ◽  
Xiang Zhang ◽  
Peng Liu ◽  
...  
Keyword(s):  
Real World ◽  
System Performance ◽  
Electric Control ◽  
Fundamental Part ◽  
Control Units ◽  
New Energy ◽  
Types Of Faults ◽  
Operational Data ◽  
New Energy Vehicles ◽  
Comprehensive Study

New energy vehicles (NEVs) have become a fundamental part of transportation system. Performance of an NEV is hugely determined by batteries, motors, and embedded electric control units. In this paper, a comprehensive study that covers all these key components is presented. Mechanisms and characterizations of failures are given in detail. On top of these, algorithms for fault diagnosis are established based on big data of real-world NEVs with joint considerations of design flaws, usage behaviors, and environmental conditions. In this way, multiple types of faults can be detected ahead of time to avoid accident. Proposed methods have been verified by real-world operational data, indicating effectiveness while providing insights for NEV design optimization.

The Use of Automobile Electric Control Technology in the New Energy Vehicles Industrialization Process

2012 ◽  
Vol 203 ◽  
pp. 7-12 ◽  
Author(s):  
Xiu Rong Gu ◽  
Bao Qing Liu
Keyword(s):  
Control Technology ◽  
Electric Control ◽  
New Energy ◽  
Industrialization Process ◽  
New Energy Vehicles

this paper analyzes the development situation of new energy vehicles and the problems in the industrialization process. and then introduces the use of automobile electric control technology in new energy vehicles.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

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

2021 ◽  
Vol 2 (1) ◽  
pp. 12-22
Author(s):  
Xueqing Tian ◽  
Qingling Zhang ◽  
Yuzhu Chi ◽  
Yu Cheng
Keyword(s):  
New Energy ◽  
Jinan City ◽  
New Energy Vehicles

scholarly journals Research on a novel data-driven aging estimation method for battery systems in real-world electric vehicles

2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110277
Author(s):  
Yankai Hou ◽  
Zhaosheng Zhang ◽  
Peng Liu ◽  
Chunbao Song ◽  
Zhenpo Wang
Keyword(s):  
Electric Vehicles ◽  
Real World ◽  
Regression Models ◽  
Estimation Method ◽  
Recursive Least Squares ◽  
Data Driven ◽  
Accurate Estimation ◽  
Support Vector ◽  
Battery Degradation ◽  
Operational Data

Accurate estimation of the degree of battery aging is essential to ensure safe operation of electric vehicles. In this paper, using real-world vehicles and their operational data, a battery aging estimation method is proposed based on a dual-polarization equivalent circuit (DPEC) model and multiple data-driven models. The DPEC model and the forgetting factor recursive least-squares method are used to determine the battery system’s ohmic internal resistance, with outliers being filtered using boxplots. Furthermore, eight common data-driven models are used to describe the relationship between battery degradation and the factors influencing this degradation, and these models are analyzed and compared in terms of both estimation accuracy and computational requirements. The results show that the gradient descent tree regression, XGBoost regression, and light GBM regression models are more accurate than the other methods, with root mean square errors of less than 6.9 mΩ. The AdaBoost and random forest regression models are regarded as alternative groups because of their relative instability. The linear regression, support vector machine regression, and k-nearest neighbor regression models are not recommended because of poor accuracy or excessively high computational requirements. This work can serve as a reference for subsequent battery degradation studies based on real-time operational data.

scholarly journals Sensitivity of the Nonsubsidized Consumption Promotion Mechanisms of New Energy Vehicles to Potential Consumers’ Purchase Intention

2021 ◽  
Vol 13 (8) ◽  
pp. 4293
Author(s):  
Yuqing Lin ◽  
Jingjing Wu ◽  
Yongqing Xiong
Keyword(s):  
Purchase Intention ◽  
Urban Traffic ◽  
Practical Significance ◽  
Local Conditions ◽  
Concept Induction ◽  
New Energy ◽  
Education Levels ◽  
The Right ◽  
Policy Incentives ◽  
New Energy Vehicles

With the background of China’s new energy vehicles (NEVs) subsidies declining, there is an important practical significance to effectively play the role of the nonsubsidized consumption promotion mechanisms. The nonsubsidized mechanisms for NEVs are classified into two types—concept induction and policy incentives, and differences in the sensitivity of the two types of mechanisms on potential consumer purchase intentions due to differences in urban traffic patterns and consumer education levels are analyzed. The results show that consumers in cities with medium to high traffic pressure are more sensitive to the right-of-way privileges component of the policy incentives, and consumers in cities with low traffic pressure are more sensitive to the charging guarantee component of the policy incentives. Consumers with medium to high education are more sensitive to the pro-environmental component in concept induction, and consumers with low education are more sensitive to the charging guarantee policy component of the policy incentives. Therefore, the implementation of the nonsubsidized mechanisms for NEVs in China should adopt differentiated strategies based on local conditions and vary with each individual.

The role of nickel recycling from nickel-bearing batteries on alleviating demand-supply gap in China's industry of new energy vehicles

2021 ◽  
Vol 170 ◽  
pp. 105612
Author(s):  
Peifan Yao ◽  
Xihua Zhang ◽  
Zhaolong Wang ◽  
Lifen Long ◽  
Yebin Han ◽  
...  
Keyword(s):  
New Energy ◽  
New Energy Vehicles

scholarly journals Demand Subsidy versus Production Regulation: Development of New Energy Vehicles in a Competitive Environment

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1280
Author(s):  
Zixuan Wang ◽  
Xiuzhang Li
Keyword(s):  
Social Welfare ◽  
Stackelberg Game ◽  
Positive Impact ◽  
Consumer Preference ◽  
Social Planner ◽  
Environmental Preferences ◽  
The Social ◽  
New Energy ◽  
Vehicle Market ◽  
New Energy Vehicles

In the competitive market environment, the growth of new energy vehicles (NEVs) faces many obstacles. Demand subsidy or production regulation-related policies are widely used to promote the development of NEVs. A comparative analysis of the effects of the two types of policies on the competitive vehicle market requires further study. To fill this gap, we investigate which type of policy is more preferable from the perspective of the social planner. In this paper, we construct a Stackelberg game with a welfare-maximizing social planner and two profit-maximizing manufacturers producing NEVs and fuel vehicles (FVs), respectively. Interestingly, although both types of policies can increase the quantity of NEVs, demand subsidy also promotes the growth of total vehicles at the same time; in contrast, production regulation reduces the total vehicles. Moreover, compared with the benchmark that no policy intervention, demand subsidy generally improves social welfare, while production regulation improves social welfare only with high consumer preference for NEVs. Nevertheless, production regulation always has a positive impact on the environment, whereas demand subsidy may have a positive impact only when the NEV is very environment friendly. The numerical results show that consumer environmental preferences and the regulation of environmental impact determine which type of policy dominates the other.

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