kangyongzhe
Associate Professor
康永哲，山东大学控制科学与工程学院硕士生导师、副研究员、山东大学未来计划学者。 研究方向：电池储能系统智能测试与安全高效管控。在国际顶级期刊IEEE TIE、Applied Energy等发表论文30余篇。授权中国发明专利10余件。 曾获2023年度国家科技进步二等奖、2022年度教育部技术发明一等奖、日内瓦国际发明展金奖等。 主持国家自然科学基金面上项目、青年项目、省青年基金项目等。 作为核心成员深度参与国家重点研发计划、基金委重大科研仪器专项、重点项目、汽车联合基金重点项目等... More+
Paper Publications
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[1] 谷平维 and 段彬. Rapid and flexible lithium-ion battery performance evaluation using random charging curve based on deep learning. Energy, 293, 2024.
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[2] 黄鹏. A flexible screening scheme for retired lithium-ion batteries based on novel capacity indicator and random forest algorithm. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 11, 544-557, 2024.
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[3] 刘含筱 and 李立伟，段彬. Multi-fault detection and diagnosis method for battery packs based on statistical analysis. Energy, 2024.
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[4] 谷平维 and 杜春水. 基于随机充电数据的锂离子电池容量在线估计. 机械工程学报, 2023.
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[5] 杨启帆. Internal short circuit detection and evaluation in battery packs based on transformation matrix and an improved state-space model. Energy, 276, 2023.
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[6] 赵光财 and 段彬. Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning. Energy, 282, 2023.
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[7] 周忠凯 and 张承慧. Online state of health estimation for seriesconnected LiFePO4 battery pack based on differential voltage and inconsistency analysis. IEEE Transactions On Transportation Electrification, 9, 1008-1020, 2023.
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[8] 杨启帆 and 杨启帆. An Online Multifault Diagnosis Scheme for Battery Packs Based on Voltage Envelope Relationship. IEEE Transactions On Transportation Electrification, 2023.
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[9] 尹浩杰 and 李岩. A two-stage sorting method combining static and dynamic characteristics for retired lithium-ion battery echelon utilization. 2023.
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[10] 周忠凯 and 段彬. Health Feature Extraction and Efficient Sorting of Second-Life Lithium-Ion Batteries. IEEE Transactions on Energy Conversion, 39, 1373-1382, 2023.
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[11] 周忠凯 and 张承慧. An Adaptive Battery Capacity Estimation Method Suitable for Random Charging Voltage Range in Electric Vehicles. IEEE Transactions on Industrial Electronics, 2022.
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[12] 黄鹏 and 段彬. The state of health estimation of lithium-ion batteries based on data-driven and model fusion method. Journal of Cleaner Production, 2022.
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[13] 周忠凯. Practical state of health estimation for LiFePO4 batteries based on Gaussian mixture regression and incremental capacity analysis. IEEE Transactions on Industrial Electronics, 2022.
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[14] 赵光财 , 张承慧 and 段彬. State-of-Health Estimation with Anomalous Aging Indicator Detection of Lithium-ion Batteries Using Regression Generative Adversarial Network.. IEEE Transactions on Industrial Electronics, 2022.
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[15] 庞其天 and 张承慧. A Convenient and Accurate Online Fault Diagnosis Method for Lithium-ion Battery Packs. 2022 6th CAA International Conference on Vehicular Control and Intelligence, CVCI 2022, 2022.
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[16] 张瑛 and 段彬. 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.
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[17] 康永哲 and 张承慧. A comparative study of fault diagnostic methods for lithium-ion batteries based on a standardized fault feature comparison method. Journal of Cleaner Production, 2021.
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[18] An efficient screening method for retired lithium-ion batteries based on support vector machine.. Journal of Cleaner Production, 2020.
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[19] 刘强. An Online SOH Estimation Method Based on the Fusion of Improved ICA and LSTM. 2020 IEEE/IAS Industrial and Commercial Power System Asia, 2020.
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[20] 康永哲 and 张承慧. Online multi-fault detection and diagnosis for battery packs in electric vehicles. Applied Energy, 2020.