武悦

个人简介

        武悦，1995年8月生，山西吕梁人，工学博士，中南大学电子信息学院电子科学系讲师，电气与电子工程师协会会员（IEEE Member）。

        2017年6月本科毕业于中南大学自动化专业，2023年12月博士毕业于中南大学控制科学与工程专业，师从黄志武教授，博士期间获中南大学校长奖学金2次。2021年11月至2023年10月期间受国家留学基金委资助，在丹麦奥尔堡大学能源技术系进行博士联合培养，师从Remus Teodorescu教授（IEEE Fellow）。2024年4月正式加入中南大学电子信息学院电子科学系担任讲师。

        以第一/通信作者在Applied Energy (APEN)、Energy (EGY)、Energy Conversion and Management (ECM)和IEEE Transactions on Intelligent Transportation Systems (TITS)等能源和交通类顶级期刊发表高水平论文10余篇，ESI高被引论文2篇，谷歌学术引用600余次，h指数14。担任Energies客座编辑，RSER、APEN、EGY、JES、EAI、IEEE TTE、IEEE TITS、IEEE TIE、IEEE TEC、IEEE TIV、IEEE SMCS和AUIN等十余个国际权威SCI期刊的审稿人。

        研究方向：智能网联新能源汽车自动驾驶、预测、规划、储能系统能量管理/热管理等（优化控制、人工智能、强化学习等理论的研究与应用），欢迎感兴趣的学生联系。

        Google学术主页：‪Yue Wu (武悦)‬ - ‪Google Scholar‬

        ResearchGate主页：Yue Wu | ResearchGate

        ORCID：0000-0003-2387-4766

公益科普讲座回放：

        科普中国-科普湖南：“新能源汽车的‘心脏’——动力电池”- 新能源汽车的“心脏”——动力电池 （2024.09.26）

客座编辑-欢迎投稿：

        Special Issue：Energies (IF: 3.0) - Key Functionalities in Battery Management Systems for Transportation Electrification (2025.02.25截止)

代表论文

[J15] Weirong Liu, Pengfei Yao, Yue Wu*, Lijun Duan, Heng Li, Jun Peng. Imitation reinforcement learning energy management for electric vehicles with hybrid energy storage system[J]. Applied Energy, 2025, 378: 124832. (JCRQ1, 中科院Q1, Top)

[J14] Yue Wu, Zhiwu Huang, Dongjun Li, Heng Li*, Jun Peng, Josep M Guerrero, Ziyou Song. Integrated battery thermal and energy management for electric vehicles with hybrid energy storage system: A hierarchical approach[J]. Energy Conversion and Management, 2024, 317: 118853. (JCRQ1, 中科院Q1, Top)

[J13] Jingda Wu, Jiankun Peng*, Menglin Li, Yue Wu. Enhancing fuel cell electric vehicle efficiency with TIP-EMS: A trainable integrated predictive energy management approach[J]. Energy Conversion and Management, 2024, 310: 118499. (JCRQ1, 中科院Q1, Top)

[J12] Zini Wang, Zhiwu Huang, Yue Wu*, Weirong Liu, Heng Li, Jun Peng. An Optimized Prediction Horizon Energy Management Method for Hybrid Energy Storage Systems of Electric Vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25 (5): 4540-4551. (JCRQ1, 中科院Q1, Top)

[J11] Xiangqiang Wu, Yue Wu, Zhongting Tang, Tamás Kerekes*. An adaptive power smoothing approach based on artificial potential field for PV plant with hybrid energy storage system[J]. Solar Energy, 2024, 270: 112377. (JCRQ1, 中科院Q2, Top)

[J10] Yue Wu, Zhiwu Huang, Dongjun Li, Heng Li*, Jun Peng, Daniel Stroe, Ziyou Song*. Optimal battery thermal management for electric vehicles with battery degradation minimization[J]. Applied Energy, 2024, 353: 122090. (JCRQ1, 中科院Q1, Top, ESI Highly Cited Paper, top 1%)

[J9] Yue Wu, Zhiwu Huang, Rui Zhang, Pei Huang, Yang Gao, Heng Li, Yongjie Liu*, Jun Peng. Driving style-aware energy management for battery/supercapacitor electric vehicles using deep reinforcement learning[J]. Journal of Energy Storage, 2023, 73: 109199. (JCRQ1, 中科院Q2, Top)

[J8] Kai Gao, Pan Luo, Jin Xie, Bin Chen, Yue Wu*, Ronghua Du. Energy management of plug-in hybrid electric vehicles based on speed prediction fused driving intention and LIDAR[J]. Energy, 2023, 284: 128535. (JCRQ1, 中科院Q1, Top)

[J7] Fei Li, Yang Gao, Yue Wu*, Yaoxin Xia, Chenglong Wang, Jiajian Hu, Zhiwu Huang. Incentive learning-based energy management for hybrid energy storage system in electric vehicles[J]. Energy Conversion and Management, 2023, 293: 117480. (JCRQ1, 中科院Q1, Top)

[J6] Yue Wu, Zhiwu Huang, Yusheng Zheng, Yongjie Liu, Heng Li*, Yunhong Che*, Jun Peng, Remus Teodorescu. Spatial-temporal data-driven full driving cycle prediction for optimal energy management in battery/supercapacitor electric vehicles[J]. Energy Conversion and Management, 2023, 277: 116619. (JCRQ1, 中科院Q1, Top)

[J5] Yue Wu, Zhiwu Huang, Heath Hofmann, Yongjie Liu, Jiahao Huang, Xiaosong Hu, Jun Peng*, Ziyou Song*. Hierarchical Predictive Control for Electric Vehicles with Hybrid Energy Storage System under Vehicle-Following Scenarios[J]. Energy, 2022, 251: 123774. (JCRQ1, 中科院Q1, Top)

[J4] Jiahao Huang, Zhiwu Huang, Yue Wu, Yongjie Liu, Heng Li, Fu Jiang*, Jun Peng. Sizing optimization research considering mass effect of hybrid energy storage system in electric vehicles[J]. Journal of Energy Storage, 2022, 48: 103892. (JCRQ1, 中科院Q2, Top)

[J3] Lisen Yan, Jun Peng, Dianzhu Gao, Yue Wu, Yongjie Liu, Heng Li, Weirong Liu*, Zhiwu Huang. A hybrid method with cascaded structure for early-stage remaining useful life prediction of lithium-ion battery[J]. Energy, 2022, 243: 123038. (JCRQ1, 中科院Q1, Top, ESI Highly Cited Paper, top 1%)

[J2] Hongtao Liao, Jun Peng*, Yue Wu, Heng Li, Yanhui Zhou, Xiaoyong Zhang, Zhiwu Huang. Adaptive Split-Frequency Quantitative Power Allocation for Hybrid Energy Storage Systems[J]. IEEE Transactions on Transportation Electrification, 2021, 7 (4): 2306-2317 (JCRQ1, 中科院Q1, Top)

[J1] Yue Wu, Zhiwu Huang, Hongtao Liao, Bin Chen, Xiaoyong Zhang*, Yanhui Zhou, Yongjie Liu, Heng Li, Jun Peng. Adaptive power allocation using artificial potential field with compensator for hybrid energy storage systems in electric vehicles[J]. Applied Energy, 2020, 257: 113983. (JCRQ1, 中科院Q1, Top)

教育经历

[1]   2013.9-2017.6

中南大学  |  自动化  |  工学学士学位  |  大学本科毕业

[2]   2017.9-2018.6

中南大学  |  控制科学与工程  |  推免+硕博连读  |  硕士研究生

[3]   2018.9-2023.12

中南大学  |  控制科学与工程  |  工学博士学位  |  博士研究生毕业

[4]   2021.11-2023.10

奥尔堡大学  |  电气工程  |  博士联合培养  |  能源技术系

工作经历

[1]   2024.4-至今

中南大学  |  电子信息学院 电子科学系  |  讲师  |  在职

其他联系方式