Engineering and TechnologyNature Communications
Behavioral uncertainty in EV charging drives heterogeneous grid load variability under climate goals
B. Zhang, Q. Xin, et al.
This study, conducted by Bin Zhang, Qingyao Xin, Siyuan Chen, Zhaohua Wang, Yang Lu, Niu Niu, Fang Zhang, Guangchuan Liu, and Prateek Bansal, quantifies how large-scale EV adoption in China—using a scalable model calibrated with minute-level charging data—raises electricity demand by 3.2% by 2050, may require ~220 billion CNY in battery storage, and could increase behavior-driven load fluctuations by up to 82.7%, revealing regional charging heterogeneity and the need for targeted, behaviorally informed demand-side interventions to protect grid reliability.
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