J
Jianqiu Li
Researcher at Tsinghua University
Publications - 254
Citations - 15379
Jianqiu Li is an academic researcher from Tsinghua University. The author has contributed to research in topics: Battery (electricity) & Proton exchange membrane fuel cell. The author has an hindex of 51, co-authored 230 publications receiving 10758 citations. Previous affiliations of Jianqiu Li include Forschungszentrum Jülich.
Papers
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A review on the key issues for lithium-ion battery management in electric vehicles
TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
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A review on the key issues of the lithium ion battery degradation among the whole life cycle
TL;DR: A comprehensive review on the key issues of the battery degradation among the whole life cycle is provided in this paper, where the battery internal aging mechanisms are reviewed considering different anode and cathode materials for better understanding the battery fade characteristic.
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A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
TL;DR: In this article, the aging mechanism of different types of lithium-ion batteries differs and the loss of lithium inventory, loss of active material, and the increase in resistance may result in battery aging.
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The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles
TL;DR: This paper proposes a co-estimation scheme of state of charge, state of health (SOH), and state of function (SOF) for lithium-ion batteries in electric vehicles that is validated in a real battery management system with good real-time performance and convincible estimation accuracy.
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Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach
TL;DR: In this paper, the authors used the dynamic programming (DP) approach to deal with the integrated optimization problem for deriving the best configuration and energy split strategies of a hybrid energy storage system (HESS), including a battery and a supercapacitor (SC), for an electric city bus.