研究生导师个人简介

李晓宇，副教授，青年人才托举，河北省优青。长期专注于动力电池智能化数字化管理关键技术的基础性和前沿性问题研究，致力于提高新能源动力电池全生命周期安全运行管理水平，从电池运行状态监测和预测、智能故障诊断和能量优化管理层面，探索新能源汽车高质量安全运行及应用方法。相关研究成果以第一作者/通讯作者发表SCI/EI论文35篇，ESI高被引论文5篇，被引2700余次，出版学术专著1部，授权发明专利8项，参与起草了中国汽车工程学会团体标准2部，主持国家自然基金、青年托举、河北省优青、省教育厅基金等省部级纵向7项。获得2022年中国汽车工程学会优秀博士学位论文（全国10篇）、北京市百篇优秀博士学位论文，2022、2023年入选坦福大学发布的全球前2%顶尖科学家。担任领域内高水平《Green Energy and Intelligent Transportation》、《机械工程学报》青年编委，以及《Automotive Innovation 》、《电气工程学报》、《Sensors》专刊客座编辑，担任四十多个国内外期刊审稿人，获得顶级SCI期刊《Reliability Engineering & System Safety》杰出审稿人。

一、研究方向

1、新能源汽车

研究方向一：锂电池安全管理技术

研究方向二：燃料电池建模及状态估计

2、智能网联汽车

研究方向：智能网联车辆能量管理策略研究

二、主持、参与的科研及教研项目情况（含获奖情况）

主持及参与国家级、省部级项目8项，包括国家自然基金、重点研发以及省级项目等。获得中国汽车工程学会优秀博士研究生学位论文、北京市优秀博士研究生学位论文、北京市优秀毕业生、北京理工大学优秀毕业生等荣誉。

三、近年来发表论文情况（第一作者或通讯作者），主编或参编的教材、专著情况，获得专利情况等

以第一作者/通讯作者发表领域内顶级SCI/EI论文23篇，ESI高被引论文5篇，谷歌总引1900余次；出版学术专著1部；授权国家发明专利5项。

[1] Li Kuo, Gao Xiao, Liu Caixia, Chang Chun, Li Xiaoyu* et al. A novel Co-estimation framework of state-of-charge, state-of-power and capacity for lithium-ion batteries using multi-parameters fusion method [J]. Energy, 2023: 126820. （本人通讯，SCI检索，IF 8.63）

[2] Xie Jiale, Xu Jingfan, Wei Zhongbao, Li Xiaoyu*. Fault isolating and grading for li-ion battery packs based on pseudo images and convolutional neural network [J]. Energy, 2023, 263: 125867. （本人通讯，SCI检索，IF 8.63）

[3] Li Xiaoyu*, Yuan Changgui, Wang Zhenpo, He Jiangtao, et al. Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm [J]. eTransportation, 2022, 11: 100156. （本人一作，SCI检索，IF13.6）

[4] Xiaoyu Li, Changgui Yuan, and Zhenpo Wang, et al. A Data-Fusion Framework for Lithium Battery Health Condition Estimation Based on Differential Thermal Voltammetry [J]. Energy, 2021: 122206. （本人一作，SCI检索，IF 8.63）

[5] Xiaoyu Li, Zhenpo Wang, Lei Zhang, Changfu Zou, David D. Dorrell, “State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis,” Journal of Power Sources, vol. 410-411, pp. 106-114, 201, 2019. （本人一作，SCI检索，IF 9.8）

[6] Xiaoyu Li, Lei Zhang, Zhenpo Wang, Peng Dong, “Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks,” Journal of Energy Storage, vol. 21, pp. 510-518, , 2019.（本人一作，SCI检索，IF 6.58）

[7] Xiaoyu Li, Zhenpo Wang, Lei Zhang, “Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles,” Energy, vol. 174, pp. 33-44, 2019.（本人一作，SCI检索，IF 8.63）

[8] Xiaoyu Li, Changgui Yuan, Xiaohui Li, and Zhenpo Wang, “State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression,” Energy, vol. 190, pp. 116467, 2020. （本人一作，SCI检索，IF 8.63）

[9] Xiaoyu Li, Zhenpo Wang, and Jinying Yan, “Prognostic health condition for lithium battery using the partial incremental capacity and gaussian process regression,” Journal of Power Sources, vol. 421, pp. 56-67, 2019.（本人一作，SCI检索，IF 9.12）

[10] Xiaoyu Li, Kangwei Dai, Zhenpo Wang, and Weiji Han, “Lithium-ion batteries fault diagnostic for electric vehicles using sample entropy analysis method,” Journal of Energy Storage, vol. 27, pp. 101121, 2020. （本人一作，SCI检索，IF 6.58）

[11] Xiaoyu Li, and Zhenpo Wang,“A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles,” Measurement, vol. 116, pp. 402-411, 2018. （本人一作，SCI检索，IF 3.92）

[12] Xiaoyu Li, Changgui Yuan, and Zhenpo Wang, “State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression,” Energy, vol. 203, pp. 117852, 2020.（本人一作，SCI检索，IF 7.14）

[13] Xiaoyu Li, Changgui Yuan, and Zhenpo Wang,“Multi-time-scale framework for prognostic health condition of lithium battery using modified Gaussian process regression and nonlinear regression,” Journal of Power Sources, vol. 467, pp. 228358, 2020. （本人一作，SCI检索，IF 9.12）

[14] Zhenpo Wang, Changgui Yuan, Xiaoyu Li*, "Lithium Battery State of Health Estimation via Differential Thermal Voltammetry with Gaussian Process Regression," in IEEE Transactions on Transportation Electrification, doi: 10.1109/TTE.2020.3028784. （本人通讯，SCI检索，IF 5.5）

[15] Changyin Wei, Yong Chen*, Xiaoyu Li*, Xiaozhe Lin. Integrating intelligent driving pattern recognition with adaptive energy management strategy for extender range electric logistics vehicle [J]. Energy, 2022, 247: 123478. （本人一作，SCI检索，IF 7.14）

[16] Hai Liu, Jingyu Zhao, Tong Qing, Xiaoyu Li*, et al. Energy consumption analysis of a parallel PHEV with different configurations based on a typical driving cycle [J]. Energy Reports, 2021, 7: 254-65. （本人通讯，SCI检索，IF 6.87）

[17] Wang Zhenpo, Song Chunbao, Yuan Changgui, Xiaoyu Li*. A flexible method for state-of-health estimation of lithium battery energy storage system [J]. Energy Reports, 2021, 7: 6375-83. （本人通讯，SCI检索，IF 6.87）

[18] 王震坡，袁昌贵，李晓宇*，新能源汽车动力电池安全管理技术挑战与发展趋势分析* [J]. 汽车工程, 2020, 42: 1606-20

[19] 王震坡, 李晓宇*, 袁昌贵, 黎小慧，大数据下电动汽车动力电池故障诊断技术挑战与发展趋势*，机械工程学报，2021, Vol. 57 (14): 52-63.

*联系人：李晓宇，联系方式： lixiaoyu@hebut.edu.cn