Future Ultrafast Charging Stations for Electric Vehicles in China: Charging Patterns, Grid Impacts and Solutions, and Upgrade Costs

In China, electric vehicle (EV) fast-charging power has quadrupled in the past five years, progressing toward 10-minute ultrafast charging. This rapid increase raises concerns about the impact on the power grid including increased peak power demand and the need for substantial upgrades to power infrastructure. Here, we introduce an integrated model to assess fast and ultrafast charging impacts for representative charging stations in China, combining real-world charging patterns and detailed station optimization models. We find that larger stations with 12 or more chargers experience modest peak power increases of less than 30% when fast-charging power is doubled, primarily because shorter charging sessions are less likely to overlap. For more typical stations (e.g., 8–9 chargers and 120 kW·charger −1 ), upgrading chargers to 350–550 kW while allowing managed dynamic waiting strategies (of ∼1 minute) can reduce overall charging times to ∼9 minutes. At stations, deploying battery storage and/or expanding transformers can help manage future increases in station loads, yet the primary device cost of the former is ∼4 times higher than that of the latter. Our results offer insights for charging infrastructure planning, EV–grid interactions, and associated policymaking.

Authors

Institutions

Publication Details

Journal
Engineering
Published
2025-02-22
DOI
https://doi.org/10.1016/j.eng.2025.01.015
Citations
3
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
2.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Future Ultrafast Charging Stations for Electric Vehicles in China: Charging Patterns, Grid Impacts and Solutions, and Upgrade Costs

Yang Zhao, Chris Nielsen, Peng Liu, Michael B. McElroy et al.
3 citations
Engineering
Advanced Battery Technologies Research
2.05
article

Future Ultrafast Charging Stations for Electric Vehicles in China: Charging Patterns, Grid Impacts and Solutions, and Upgrade Costs

Yang Zhao, Chris Nielsen, Peng Liu, Michael B. McElroy, Xinyu Chen
article en
3 citations

Abstract

In China, electric vehicle (EV) fast-charging power has quadrupled in the past five years, progressing toward 10-minute ultrafast charging. This rapid increase raises concerns about the impact on the power grid including increased peak power demand and the need for substantial upgrades to power infrastructure. Here, we introduce an integrated model to assess fast and ultrafast charging impacts for representative charging stations in China, combining real-world charging patterns and detailed station optimization models. We find that larger stations with 12 or more chargers experience modest peak power increases of less than 30% when fast-charging power is doubled, primarily because shorter charging sessions are less likely to overlap. For more typical stations (e.g., 8–9 chargers and 120 kW·charger −1 ), upgrading chargers to 350–550 kW while allowing managed dynamic waiting strategies (of ∼1 minute) can reduce overall charging times to ∼9 minutes. At stations, deploying battery storage and/or expanding transformers can help manage future increases in station loads, yet the primary device cost of the former is ∼4 times higher than that of the latter. Our results offer insights for charging infrastructure planning, EV–grid interactions, and associated policymaking.

EngineeringVol. 48
Beijing Institute of Technology (CN), Planetary Science Institute (US), Harvard University (US), Harvard University Press (US), Huazhong University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Advanced Battery Technologies Research
2.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Future Ultrafast Charging Stations for Electric Vehicles in China: Charging Patterns, Grid Impacts and Solutions, and Upgrade Costs — Yang Zhao, Chris Nielsen, et al. · Engineering (2025) | TGRS Research Map | TGRS