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

Significance The surging demand for battery resources and energy from EVs signifies a need to reassess the real-world battery utilization and energy consumption of urban EVs. In this work, we incorporate unique and previously unavailable datasets of urban-scale EV operation to better understand the battery utilization and energy consumption of large-scale EV utilization. High-resolution operating data of EVs across multiple regions are collected and integrated with vehicle feature data as the input for modeling. Accordingly, we expose several issues that have nonnegligible impacts on battery resources and the urban power supply, such as low battery utilization and seasonal changes in the energy consumption of EVs. The provided models and data can be extensively utilized for further EV-related resource and energy investigations.
- University of California, Berkeley United States
- University of Hong Kong China (People's Republic of)
- University of Hong Kong China (People's Republic of)
- University of California System United States
- Beijing Institute of Technology China (People's Republic of)
690, transport electrification, battery resource, electric vehicle, sustainability, Affordable and Clean Energy, energy consumption
690, transport electrification, battery resource, electric vehicle, sustainability, Affordable and Clean Energy, energy consumption
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).32 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
