Working Experience：

2023.10-present School of Automation, Nanjing University of Information Science and Technology

Education：

2018.09-2023.07 PhD in Dynamical Systems and Control, College of Engineering, Peking University

2014.09-2018.07 BEng in Engineering Mechanics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics

Research Interests：

Battery management

Publications：

[1] Zichuan Ni, Ying Yang. A canonical correlation analysis-based approach for battery state of charge estimation. 2023 35th Chinese Control and Decision Conference. IEEE, 2023: 3981-3986.

[2] Zichuan Ni, Biao Li, Ying Yang. Deep domain adaptation network for transfer learning of state of charge estimation among batteries. Journal of Energy Storage, 2023: 106812.

[3] Zichuan Ni, Xianchao Xiu, Ying Yang. Towards efficient state of charge estimation of lithium-ion batteries using canonical correlation analysis. Energy, 2022: 124415.

[4] Zichuan Ni, Ying Yang. A combined data-model method for state-of-charge estimation of lithium-ion batteries. IEEE Transactions on Instrumentation and Measurement, 2021, 71: 1-11

[5] Zichuan Ni, Ying Yang, Xianchao Xiu. Battery state of charge estimation using long short-term memory network and extended Kalman filter. 2020 39th Chinese Control Conference. IEEE, 2020: 5778-5783.

[6] Zichuan Ni, Hu Qiu, Wanlin Guo. Electrically tunable ion selectivity of charged nanopores. The Journal of Physical Chemistry C, 2018, 122(51): 29380-29385.