研究方向：电池状态估计和故障诊断

个人邮箱：zhaohongqian@stu.kust.edu.cn

代表论文：

[1] Hongqian Zhao, Zheng Chen*, Xing Shu, Jiangwei Shen, Yonggang Liu* and Yuanjian Zhang, "Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training," Energy, vol. 266, p. 126496, 2023/03/01/ 2023. 

[2] Hongqian Zhao, Zheng Chen*, Xing Shu, Jiangwei Shen, Zhenzhen Lei* and Yuanjian Zhang, "State of Health Estimation for Lithium-ion Batteries Based on Hybrid Attention and Deep Learning," Reliability Engineering & System Safety, vol. 232, p. 109066, 2022/12/27/ 2022. 

[3] Zheng Chen, Hongqian Zhao, Xing Shu, Yuanjian Zhang, Jiangwei Shen and Yonggang Liu*, "Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter," Energy, vol. 228, p. 120630, 2021/08/01/ 2021.

[4] Zheng Chen, Hongqian Zhao, Yuanjian Zhang, Shiquan Shen, Jiangwei Shen and Yonggang Liu*, "State of Health Estimation for Lithium-Ion Batteries Based on Temperature Prediction and Gated Recurrent Unit Neural Network," Journal of Power Sources, vol. 521, p. 230892, Dec. 2021.

[5] Hongqian Zhao, Zheng Chen, Xing Shu, Jiangwei Shen and Yonggang Liu, "Remaining Capacity Estimation for Lithium-Ion Batteries Based on Differential Temperature Curve and Hybrid Deep Learning Approach," International Conference on Energy Storage and Intelligent Vehicles, Aug. 2022.