Literature DB >> 33875590

Assessment of battery utilization and energy consumption in the large-scale development of urban electric vehicles.

Yang Zhao1,2, Zhenpo Wang3, Zuo-Jun Max Shen4,5,6, Fengchun Sun1.   

Abstract

Electrifying transportation in the form of the large-scale development of electric vehicles (EVs) plays a pivotal role in reducing urban atmospheric pollution and alleviating fossil fuel dependence. However, the rising scale of EV deployment is exposing problems that were previously hidden in small-scale EV applications, and the lack of large-scale EV operating data deters relevant explorations. Here, we report several issues related to the battery utilization and energy consumption of urban-scale EVs by connecting three unique datasets of real-world operating states of over 3 million Chinese EVs, operational data, and vehicle feature data. Meanwhile, by incorporating climatic data and EV data outside China, we extend our models to several metropolitan areas worldwide. We find that blindly increasing the battery energy of urban EVs could be detrimental to sustainable development. The impact of changes in the energy consumption of EVs would be exacerbated in large-scale EV utilization, especially during seasonal shifts. For instance, even with a constant monthly driving demand, the average energy consumption of Beijing light-duty EVs would change by up to 21% during winter-spring shifts. Our results may also prove useful for research on battery resources, urban power supply, environmental impacts, and policymaking.

Entities:  

Keywords:  battery resource; electric vehicle; energy consumption; sustainability; transport electrification

Year:  2021        PMID: 33875590     DOI: 10.1073/pnas.2017318118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  1 in total

1.  Battery health evaluation using a short random segment of constant current charging.

Authors:  Zhongwei Deng; Xiaosong Hu; Yi Xie; Le Xu; Penghua Li; Xianke Lin; Xiaolei Bian
Journal:  iScience       Date:  2022-04-12
  1 in total

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