武悦

电子邮箱:

入职时间:2024-04-28

所在单位:电子信息学院

学历:研究生(博士)毕业

在职信息:在职

主要任职:讲师

邮编:

个人简介

武悦,男,山西吕梁人,工学博士,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,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,2024年4月起,任中南大学电子信息学院电子科学系讲师

主要从事智能网联新能源汽车自动驾驶、车速预测/规划、车载储能系统能量管理/热管等方面的研究优化控制深度学习强化学习等理论的应用)近年来在Applied Energy (APEN)、Energy (EGY)、Energy Conversion and Management (ECM)、IEEE Transactions on Intelligent Transportation Systems (TITS)、IEEE Transactions on Transportation Electrification (TTE)IEEE Transactions on Smart Grid (TSG)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和AUIN等十余个国际权威SCI期刊的审稿人。

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

ResearchGate主页:Yue Wu | ResearchGate

ORCID:0000-0003-2387-4766




代表论文

[J16] Xiangqiang Wu, Kuangpu Liu, Yue Wu, Cheng Luo, Zhongting Tang, Tamás Kerekes*. Near-Optimal Energy Management Strategy for a Grid-Forming PV and Hybrid Energy Storage System[J]. IEEE Transactions on Smart Grid, 2025, Early Access. (JCRQ1, 中科院Q1, Top)

[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)




学术服务

公益科普讲座:

        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)


期刊审稿:

  • IEEE Transactions on Intelligent Transportation Systems

  • IEEE Transactions on Transportation Electrification

  • IEEE Transactions on Intelligent Vehicles

  • IEEE Transactions on Energy Conversion

  • IEEE Transactions on Industrial Electronics

  • IEEE Transactions on Systems Man and Cybernetics Systems

  • Renewable and Sustainable Energy Reviews

  • Applied Energy

  • Energy

  • Journal of Energy Storage

  • Automotive Innovation

  • Sustainable Energy Technologies and Assessments

  • Energy and AI

  • IEEE Journal of Emerging and Selected Topics in Industrial Electronics

  • IEEE Open Journal of Vehicular Technology

  • Results in Engineering

  • e-Prime - Advances in Electrical Engineering, Electronics and Energy

教育经历

[1] 2013.9-2017.6
中南大学 | 自动化 | 大学本科毕业 | 工学学士学位
[2] 2017.9-2018.6
中南大学 | 控制科学与工程 | 硕士研究生 | 推免+硕博连读
[3] 2018.9-2023.12
中南大学 | 控制科学与工程 | 博士研究生毕业 | 工学博士学位
[4] 2021.11-2023.10
奥尔堡大学 | 电气工程 | 能源技术系 | 博士联合培养

工作经历

[1] 2024.4-至今
电子信息学院 电子科学系 | 中南大学 

团队成员

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