诸斐琴,苏州大学轨道交通学院讲师、校优秀青年学者。本科和博士均毕业于北京交通大学,在清华大学车辆学院和美国布鲁克海文国家实验室从事博士后研究。研究围绕智慧交通与能源系统开展,具体方向包括城轨交通供电节能技术、电动汽车充换电与智能微网、电力系统的数据驱动建模、信息物理安全与人工智能应用等。主持了博后面上基金,发表SCI/EI论文10余篇,授权发明专利4项,获得院优秀博士论文、eTransportation优秀审稿人等荣誉。


主要成果:

[1] Zhu F, Torbunov D, Jiang Z, et al. Diffusion Model-based Parameter Estimation in Dynamic Power Systems[J]. arXiv preprint arXiv:2411.10431, 2024. 

[2] Zhu F, Li L, Li Y, et al. Does the battery swapping energy supply mode have better economic potential for electric heavy-duty trucks?[J]. eTransportation, 2023, 15: 100215. (SCI, 一区,  IF=17.0)

[3] Zhu F, Li Y, Lu L, et al. Life cycle optimization framework of charging–swapping integrated energy supply systems for multi-type vehicles[J]. Applied Energy, 2023, 351: 121759. (SCI, 一区, IF=11.0)

[4] Zhu F, Yang Z, Lin F, et al. Decentralized Cooperative Control of Multiple Energy Storage Systems in Urban Railway based on Multi-agent Deep Reinforcement Learning [J]. IEEE Transactions on Power Electronics, 2020, 35(9): 9368-9379. (SCI, 一区, IF=6.5)

[5] Zhu F, Yang Z, Zhao Z, et al. Two-Stage Synthetic Optimization of Supercapacitor-Based Energy Storage Systems, Traction Power Parameters and Train Operation in Urban Rail Transit [J]. IEEE Transactions on Vehicular Technology, 2021, 70(9): 8590-8605. (SCI, 二区, IF=7.1)

[6] Zhu F, Yang Z, Xia H, et al. Hierarchical Control and Full-Range Dynamic Performance Optimization of the Supercapacitor Energy Storage System in Urban Railway[J]. IEEE Transactions on Industrial Electronics, 2018, 65(8): 6646-6656. (SCI, 一区, IF=7.5)

[7] Li Y, Zhu F, Li L, et al. Electrifying Heavy-duty Truck through Battery Swapping [J]. Joule, 2024. (SCI, 一区, IF=35.4)

[8] Yang Z, Zhu F, Lin F. Deep-Reinforcement-learning-based Energy Management Strategy for Supercapacitor Energy Storage Systems in Urban Rail Transit [J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(2): 1150-1160. (SCI, 一区, IF=8.4)

[9] Li Y, Wei Y, Zhu F, et al. The path enabling storage of renewable energy toward carbon neutralization in China[J]. eTransportation, 2023, 16: 100226. (SCI, 一区, IF=17.0)

[10]诸斐琴,杨中平,林飞等,基于强化学习的城轨交通地面式超级电容储能系统能量管理方法. 中国: ZL 201711053352.3[P]. 2020-03-17. (发明专利)

[11]欧阳明高, 诸斐琴, 卢兰光, 韩雪冰, 李立国, 秦宇迪. 一种多类型电动车协同供电系统. 中国: ZL 202110630591.0[P]. 2024-10-29. (发明专利)

[12]杨中平,林飞,诸斐琴等,城轨交通地面超级电容储能系统分布式协调控制优化方法;中国:ZL 201811509514.4[P]. 2021-04-06. (发明专利)


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