Kevin Liu
Professor
刘凯龙，山东大学控制科学与工程学院教授、博士生导师，科睿唯安全球高被引科学家、国家海外高层次人才、山东省杰青、IEEE高级会员。曾任英国华威大学储能研究院（WMG）教职。主要从事新能源数智化与储能系统管控研究。以第一或通讯作者发表SCI一区学术论文50余篇，其中高被引论文26篇、热点论文7篇；撰写学术专著4部，以第一发明人授权国内外发明专利10项。获英国未来领袖基金提名（UKRI Future Leader Fellowship, 160余万英镑），主持国自然面上基金、英国Innovate UK、HVM Cata... More+
Scientific Research
Working-Papers
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Paper Publications
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Fan, Chuanxin. Characterization and identification towards dynamic-based electrical modeling of lithium-ion batteries. JOURNAL OF ENERGY CHEMISTRY, 92, 738-758, 2024.
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Peng, Qiao. Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 179, 2024.
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Xie, Yi. A health-aware AC heating strategy with lithium plating criterion for batteries at low temperatures. IEEE Transactions on Industrial Informatics, 20, 1-11, 2024.
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Zhu, Tao. Enabling extreme fast charging. JOULE, 7, 2660-2662, 2024.
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Peng, Qiao. Battery calendar degradation trajectory prediction: Data-driven implementation and knowledge inspiration. Energy, 294, 2024.
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Fan, Chuanxin. Understanding of Lithium-ion battery degradation using multisine-based nonlinear characterization method. Energy, 290, 2024.
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Liu, Weilong. Evolutionary Multi-Objective Optimisation for Large-Scale Portfolio Selection With Both Random and Uncertain Returns. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 1-1, 2024.
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Wei, Zhongbao. Multi-level Data-driven Battery Management: From Internal Sensing to Big Data Utilization. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 1-1, 2024.
Patents
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一种基于未来参数预测的电池短路故障诊断方法及系统
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基于分解集成非对称策略的电池剩余寿命预测方法及系统
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一种基于改进的自动编码器的电池故障诊断方法及系统
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一种电池健康状态估计方法及系统
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一种电池荷电状态估计方法及估计器， ZL202010364716.5, PCT/CN2020/088346，授权日：2022-7, 中国发明和国际PCT专利
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获取动力电池寿命数据的方法、装置、计算机设备及介质， ZL202010306169.5，PCT/CN2020/085381，授权日：2022-4, 中国发明和国际PCT专利。
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一种基于移植神经网络的电池容量衰减轨迹预测方法, ZL202010060435.0，授权日：2022-3，中国发明专利。
Published Books
Research Projects
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百兆瓦级高压储能系统电池模块管理系统技术服务, 2024-12-12-2025-12-12
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计及制造历史健康溯源与未来寿命早期预测的电池分选成组方法研究, 2023-08-24-2027-12-31
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2023-刘凯龙-YQ(HY), 2023-11-01-2028-10-31
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计及制造历史健康溯源与未来寿命早期预测的电池分选成组方法研究, 国家自然科学基金面上项目，项目负责人
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Ultra-fast, Health-protective and Safe Battery Charging for Large Scale Implementation of Net-Zero Transportations, 英国未来领袖基金，£1.6M，PI, 获提名
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Interpretable artificial intelligence (AI) for battery smart manufacturing, 英国High Value Manufacturing (HVM) Catapult委员会, 英国High Value Manufacturing Catapult委员会，PI，结题优秀
Research Team
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