工作经历：

2023.10-至今 南京信息工程大学 自动化学院

教育背景：

2018.09-2023.07 北京大学 工学院，力学系统与控制，工学博士

2014.09-2018.07 南京航空航天大学 航空宇航学院，工程力学，工学学士

研究方向：

系统与控制，机器学习，电池管理

论文成果：

[8] Zichuan Ni, Xiaoxu Lyu, Guanghui Wen, Ling Shi. SETKNet: Stochastic Event-Triggered Kalman Net with Sensor Scheduling for Remote State Estimation. IEEE Transactions on Automation Science and Engineering, 2026, DOI: 10.1109/TASE.2026.3680329.

[7] Zichuan Ni, Chao Jia. A Comparative Study of Battery State of Charge Estimation with Equivalent Circuit Model and Empirical Model. Measurement, 2025: 119162.

[6] 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. 

[5] 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.

[4] Zichuan Ni, Xianchao Xiu, Ying Yang. Towards Efficient State of Charge Estimation of Lithium-ion Batteries Using Canonical Correlation Analysis. Energy, 2022: 124415.

[3] 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

[2] 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.

[1] Zichuan Ni, Hu Qiu, Wanlin Guo. Electrically Tunable Ion Selectivity of Charged Nanopores. The Journal of Physical Chemistry C, 2018, 122(51): 29380-29385.

获得荣誉：

江苏省双创博士，2024

北京大学博士生校长奖学金，2022

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