舒星，男，博士，讲师，IEEE会员、中国自动化学会会员、中国电工技术学会会员，2023年毕业于昆明理工大学，获工学博士学位。目前主要从事新能源汽车动力电池状态估算、充电优化控制与故障诊断研究。近年来以第一或通讯作者在IEEE TPE/TTE、JPS、Energy等期刊上发表论文14篇，其中中科院SCI一区TOP期刊论文9篇，二区论文2篇，EI论文2篇。申请国家发明专利10余项，受邀担任Frontiers in Energy Research专刊协调员，Energy Storage Materials、IEEE TIE、TTE、AE等十余个期刊审稿人。

教育与工作经历

2023.06- 重庆理工大学，LDSports乐动体育(中国)公司官网，讲师

2019.09-2023.06 昆明理工大学，交通运输工程，博士

2015.09-2018.06 昆明理工大学，交通运输工程，硕士

2011.09-2015.06 云南农业大学，车辆工程，学士

研究方向

Ø 新能源汽车动力电池内部状态（SOC/SOH/SOP/RUL等）估算

Ø 动力电池充电优化控制

Ø 动力电池故障诊断与预警

科研项目

[1] 创新能力提升计划高水平学术论文项目，State of Health Prediction of Lithium-Ion Batteries Based on Machine Learning: Advances and Perspectives，2022/05—2023/04，主持；

[2] 创新能力提升计划高水平学术论文项目，A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning，2022/05—2023/04，主持；

[3] 国家自然科学基金，基于多域耦合建模的车用双体系混装锂电池组拓扑结构优化与关键参数估算，2023/01-2026/12，主研；

[4] 国家自然科学基金，面向全服役过程的车用动力锂电池多维融合建模与状态估计方法研究，2022/01-2025/12，主研；

[5] 国家重点研发计划子课题，动力锂电池系统智能制造及运维数据挖掘技术，2018/05—2021/11，主研。

[6] 国家自然科学基金，计及交通信息的插电式混合动力汽车分层优化能量管理策略研究，2018/01—2021/12，参与；

获奖情况

[1] 2022/12  中国产学研合作创新成果奖二等奖

[2] 2021/06  第34届世界电动汽车研讨会暨展览会(EVS34)优秀论文奖

[3] 2020/12  全国高校新能源汽车大数据创新创业大赛创新组三等奖

[4] 2022/06  2022德方纳米“领创杯”新能源全国挑战赛优秀奖

[5] 2021/03  省级优秀硕士学位论文

[6] 2021/09  省级“互联网+”大学生创新创业大赛金奖

[7] 2020/09  省级“互联网+”大学生创新创业大赛金奖

代表性论文

[1] Xing Shu, Zheng Chen*, Jiangwei Shen, Shiquan Shen, Fengxiang Guo, Yuanjian Zhang, Yonggang Liu*, “Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries with Twenty Random Samplings”, IEEE Transactions on Power Electronics 38(4), 5538-5548, 2023.

[2] Xing Shu, Jiangwei Shen, Zheng Chen*, Yuanjian Zhang, Yonggang Liu, Yan Lin*, “Remaining Capacity Estimation for Lithium-Ion Batteries Via Co-Operation of Multi-Machine Learning Algorithms”, Reliability Engineering & System Safety 228, 108821, 2022.

[3] Xing Shu, Zheng Chen, Jiangwei Shen, Fengxiang Guo, Yuanjian Zhang, Yonggang Liu*, “State of Charge Estimation for Lithium-ion Battery Based on Hybrid Compensation Modeling and Adaptive H-Infinity Filter”, IEEE Transactions on Transportation Electrification 9(1), 945-957, 2023.

[4] Xing Shu, Shiquan Shen, Jiangwei Shen, Yuanjian Zhang, Guang Li, Zheng Chen*, Yonggang Liu*, “State of Health Prediction of Lithium-Ion Batteries Based on Machine Learning: Advances and Perspectives”, Iscience 24 (11), 103265, 2021.

[5] Xing Shu, Jiangwei Shen, Guang Li, Yuanjian Zhang, Zheng Chen*, Yonggang Liu*, “A Flexible State of Health Prediction Scheme for Lithium-Ion Battery Packs with Long Short-Term Memory Network and Transfer Learning”, IEEE Transactions on Transportation Electrification 7 (4), 2238-2248, 2021.

[6] Xing Shu, Guang Li, Yuanjian Zhang, Shiquan Shen, Zheng Chen*, Yonggang Liu*, “Stage of Charge Estimation of Lithium-ion Battery Packs Based on Improved Cubature Kalman Filter with Long Short-Term Memory Model”, IEEE Transactions on Transportation Electrification 7 (3), 1271-1284, 2020.

[7] Xing Shu, Guang Li, Yuanjian Zhang, Jiangwei Shen, Zheng Chen*, Yonggang Liu*, "Online Diagnosis of State of Health for Lithium-Ion Batteries Based on Short-Term Charging Profiles," Journal of Power Sources, vol. 471, p. 228478, 2020/09/30/ 2020.

[8] Xing Shu, Guang Li, Jiangwei Shen, Zhenzhen Lei, Zheng Chen*, Yonggang Liu*, "An Adaptive Multi-State Estimation Algorithm for Lithium-Ion Batteries Incorporating Temperature Compensation," Energy, vol. 207, p. 118262, 2020/09/15/ 2020.

[9] Xing Shu, Guang Li, Jiangwei Shen, Zhenzhen Lei, Zheng Chen*, Yonggang Liu*, "A Uniform Estimation Framework for State of Health of Lithium-Ion Batteries Considering Feature Extraction and Parameters Optimization," Energy, vol. 204, p. 117957, 2020/08/01/ 2020.

[10] Xing Shu, Guang Li, Jiangwei Shen, Wensheng Yan, Zheng Chen*, Yonggang Liu*, "An Adaptive Fusion Estimation Algorithm for State of Charge of Lithium-Ion Batteries Considering Wide Operating Temperature and Degradation," Journal of Power Sources, vol. 462, p. 228132, 2020/06/30/ 2020.

申请专利

[1] 舒星，陈峥，申江卫，刘永刚，赵红茜，颜文胜. 一种基于迁移学习算法的动力锂电池组SOH 估计方法. 中国发明专利：202110422710.3（已授权，CN 113128672B）

[2] 陈峥，舒星，申江卫，颜文胜. 一种锂离子电池SOC估计方法及装置. 中国发明专利：202010438210.4（已授权，CN 111679199 B，导师第一，本人第二）

[3] 舒星，陈峥，申江卫，颜文胜，薛撬. 一种基于机器学习模型的动力锂电池组荷电状态估计方法. 中国发明专利：202010801275.0

联系方式

      E-mail: shuxing@cqut.edu.cn