康永哲
副研究员
访问次数：次
基本信息
  • 教师拼音名称：
    Kang Yongzhe
  • 电子邮箱：
    kangyz@sdu.edu.cn
  • 入职时间：
    2021-07-09
  • 所在单位：
    控制科学与工程学院
  • 学历：
    研究生(博士)毕业
  • 性别：
    男
  • 联系方式：
    kangyz@sdu.edu.cn
  • 学位：
    博士生
  • 毕业院校：
    山东大学
  • 硕士生导师
学科：
控制科学与工程；
曾获荣誉：

2024-06-10    2023年度国家科技进步二等奖；
2023-06-06    2022年度教育部技术发明一等奖；
2022-03-28    第48届日内瓦发明展金奖；
教育经历
  • 2016-9 — 2021-6
    山东大学
    电力电子与电力传动
    博士生
  • 2013-9 — 2016-1
    海军工程大学
    电力集成
    硕士生
  • 2009-9 — 2013-6
    山东大学
    电气工程
    工学学士
研究领域

电动汽车动力电池管理，新能源电池储能管控，电力电子技术等

科研成果
研究方向

暂无内容

论文

1.  刘含筱. Multi-fault detection and diagnosis method for battery packs based on statistical analysis.  Energy,  293,  2024. 

2.  赵光财. Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning.  Energy ,  282,  2023. 

3.  庞其天. A Convenient and Accurate Online Fault Diagnosis Method for Lithium-ion Battery Packs.  2022. 

4.  王楠. Core Temperature Estimation Method for Lithium-Ion Battery Based on Long Short-Term Memory Model With Transfer Learning.  IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS,  11,  201, 2023. 

5.  周忠凯. Online state of health estimation for seriesconnected LiFePO4 battery pack based on differential voltage and inconsistency analysis.  IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION,  1-1, 2023. 

6.  谷平维. 基于随机充电数据的锂离子电池容量在线估计.  基于铣削力精确建模的工件表面,  1-11, 2023. 

7.  周忠凯. Practical State of Health Estimation for LiFePO<sub>4</sub> Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis.  ieee ,  70,  2576, 2023. 

8.  Yang, Qifan. An Online Multifault Diagnosis Scheme for Battery Packs Based on Voltage Envelope Relationship.  IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION,  9,  1008, 2023. 

9.  尹浩杰. A two-stage sorting method combining static and dynamic characteristics for retired lithium-ion battery echelon utilization.  JOURNAL OF ENERGY STORAGE,  64,  2023. 

10.  黄鹏. The state of health estimation of lithium-ion batteries based on data-driven and model fusion method.  JOURNAL OF CLEANER PRODUCTION,  366,  2022. 

11.  康永哲. Multi-fault online detection method for series-connected battery packs.  2017-January,  235-240, 2017. 

12.  Zhou, Zhongkai. Practical state of health estimation for LiFePO4 batteries based on Gaussian mixture regression and incremental capacity analysis.  IEEE Transactions on Industrial Electronics,  2022. 

13.  Yang, Qifan. An Online Multi-fault Diagnosis Scheme for Battery Packs Based on Voltage Envelope Relationship.  IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION,  2022. 

14.  Zhao, Guangcai. State-of-Health Estimation with Anomalous Aging Indicator Detection of Lithium-ion Batteries Using Regression Generative Adversarial Network.  IEEE Transactions on Industrial Electronics,  2022. 

15.  康永哲. A comparative study of fault diagnostic methods for lithium-ion batteries based on a standardized fault feature comparison method.  Journal of Cleaner Production,  278,  2021. 

16.  张承慧. An Adaptive Battery Capacity Estimation Method Suitable for Random Charging Voltage Range in Electric Vehicles.  IEEE Transactions on Industrial Electronics,  69,  9121, 2022. 

17.  Zhang chenghui , Kang Yongzhe , Duan Bin , Zhou Zhongkai , Zhang Qi , Shang Yunlong  and Chen Alian. An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles.  IEEE Transactions on Industrial Electronics,  2021. 

18.  Zhang Ying , Zhou Zhongkai , Kang Yongzhe , Zhang Chenghui  and Duan Bin. A Quick Screening Approach Based on Fuzzy C-Means Algorithm for the Second Usage of Retired Lithium-Ion Batteries.  IEEE Transactions on Transportation Electrification,  2021. 

19.  Kang yongzhe , Yang Xichen , Zhou Zhongkai , Duan Bin , Liu Qiang , Shang Yunlong  and Zhang Chenghui. A comparative study of fault diagnostic methods for lithium-ion batteries based on a standardized fault feature comparison method.  Journal of Cleaner Production,  2021. 

20.  Zhou, Zhongkai , Duan, Bin , Kang, Yongzhe , Shang, Yunlong , Cui, Naxin , Chang, Long  and Zhang, Chenghui. An efficient screening method for retired lithium-ion batteries based on support vector machine.  Journal of Cleaner Production,  2020. 

21.  Liu, Qiang , Kang, Yongzhe , Qu, Shaofei , Duan, Bin , Wen, Fazheng  and Zhang, Chenghui. An Online SOH Estimation Method Based on the Fusion of Improved ICA and LSTM.  2020 IEEE/IAS Industrial and Commercial Power System Asia,  2020. 

22.  Kang, Yongzhe , Duan, Bin , Zhou, Zhongkai , Shang, Yunlong  and Zhang, Chenghui. Online multi-fault detection and diagnosis for battery packs in electric vehicles.  Applied Energy,  2020. 

23.  Shang Yunlong , Lu Gaopeng , Kang Yongzhe , Zhou Zhongkai , Duan Bin  and Zhang Chenghui. A multi-fault diagnosis method based on modified Sample Entropy for lithium-ion battery strings.  Journal of Power Sources,  2020. 

24.  Zhou, Zhongkai , Duan, Bin , Kang, Yongzhe , Cui, Naxin , Shang, Yunlong  and Zhang, Chenghui. A low-complexity state of charge estimation method for series-connected lithium-ion battery pack used in electric vehicles.  Journal of Power Sources,  2019. 

25.  Zhou, Zhongkai , Kang, Yongzhe , Shang, Yunlong , Cui, Naxin , Zhang, Chenghui  and Duan, Bin. Peak power prediction for series-connected LiNCM battery pack based on representative cells.  Journal of Cleaner Production,  2019. 

26.  Qu, Shaofei , Kang, Yongzhe , Gu, Pingwei , Zhang, Chenghui  and Duan, Bin. A fast online state of health estimation method for lithium-ion batteries based on incremental capacity analysis.  Energies,  2019. 

27.  Kang, Yongzhe , Duan, Bin , Zhou, Zhongkai , Shang, Yunlong  and Zhang, Chenghui. A multi-fault diagnostic method based on an interleaved voltage measurement topology for series connected battery packs.  Journal of Power Sources,  2019. 

28.  Kang, Yongzhe. Multi-fault online detection method for series-connected battery packs.  Proceedings - 2017 Chinese Automation Congress,  2017. 

专利

1. 锂离子电池健康状态联合估计方法

2. 一种动力电池组多故障在线检测方法

3. 一种基于迁移学习的锂电池核温评估方法及系统

版权所有   ©山东大学　地址：中国山东省济南市山大南路27号　邮编：250100　
查号台：（86）-0531-88395114
值班电话：（86）-0531-88364731　建设维护：山东大学信息化工作办公室