General Lab Information

Feiqin Zhu

Renewable Energy Group, Interdisciplinary Science Department

Feiqin Zhu

Brookhaven National Laboratory

Interdisciplinary Science Department
Bldg. 815
P.O. Box 5000
Upton, NY 11973-5000

Feiqin Zhu is a postdoctoral research associate at Interdisciplinary Science Department, Brookhaben National Laboratory. She received her PhD degree in electrical engineering at Beijing Jiaotong University, China, in 2020.  She was a postdoctoral research assistant at School of vehicle and mobility, Tsinghua Universty, China, during 2020-2022. Her research interests include planning and operation for transportation & energy system, power system dynamic modeling, identification and data analytics.

Education | Publications

Education

2015 – 2020                   PhD in Electrical Engineering, Beijing Jiaotong University, China

2011 – 2015                   BEng in Electrical Engineering, Beijing Jiaotong University, China

Selected Publications

  • Zhu F, Li Y, Lu L, et al (2023) Life cycle optimization framework of charging–swapping integrated energy supply systems for multi-type vehicles. Applied Energy 351:121759. https://doi.org/10.1016/j.apenergy.2023.121759
  • Zhu F, Li L, Li Y, et al (2023) Does the battery swapping energy supply mode have better economic potential for electric heavy-duty trucks? eTransportation 15:100215. https://doi.org/10.1016/j.etran.2022.100215
  • Li Y, Wei Y, Zhu F, et al (2023) The path enabling storage of renewable energy toward carbon neutralization in China. eTransportation 16:100226. https://doi.org/10.1016/j.etran.2023.100226
  • Zhu F, Yang Z, Zhao Z, Lin F (2021) Two-Stage Synthetic Optimization of Supercapacitor-Based Energy Storage Systems, Traction Power Parameters and Train Operation in Urban Rail Transit. IEEE Transactions on Vehicular Technology 70:8590–8605. https://doi.org/10.1109/tvt.2021.3100412
  • Zhu F, Yang Z, Lin F, Xin Y (2020) Decentralized Cooperative Control of Multiple Energy Storage Systems in Urban Railway Based on Multiagent Deep Reinforcement Learning. IEEE Transactions on Power Electronics 35:9368–9379. https://doi.org/10.1109/tpel.2020.2971637
  • Yang Z, Zhu F, Lin F (2021) Deep-Reinforcement-Learning-Based Energy Management Strategy for Supercapacitor Energy Storage Systems in Urban Rail Transit. IEEE Transactions on Intelligent Transportation Systems 22:1150–1160. https://doi.org/10.1109/tits.2019.2963785
  • Zhu F, Yang Z, Xia H, Lin F (2018) Hierarchical Control and Full-Range Dynamic Performance Optimization of the Supercapacitor Energy Storage System in Urban Railway. IEEE Transactions on Industrial Electronics 65:6646–6656. https://doi.org/10.1109/tie.2017.2772174
Feiqin Zhu

Brookhaven National Laboratory

Interdisciplinary Science Department
Bldg. 815
P.O. Box 5000
Upton, NY 11973-5000