基于电热约束的锂离子电池预测快速充电研究

Hao Zhong, Zhongbao Wei, Hongwen He
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引用次数: 0

摘要

锂离子电池以其能量密度高、循环寿命长等优点被广泛应用于电动汽车中。在这一愿景中,LIB系统的快速充电已成为推动电动汽车在现有汽车市场大规模渗透的关键技术。基于此,本文提出了一种基于模型预测控制(MPC)概念的热约束快速充电方法。建立了一个耦合的电热模型,在此基础上设计了两个基于模型的观测器来估计锂离子电池的荷电状态和内部温度。在此前提下,利用基于mpc的控制器巧妙地权衡充电速度和物理限制。对比结果表明,该方法在保证终端电压和电池内部温度均在安全范围内的前提下,可以实现高速充电的优化,与传统的恒流-恒压(CC-CV)充电方式相比,具有明显的优越性。
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Predictive Fast Charging of Lithium-ion Battery with Electro-thermal Constraints
Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs) attributed to their advantages of high energy density and long cycle life. In this vision, fast charging of the LIB system has been a crucial technology to promote the large-scale penetration of EVs in the existing automotive market. Motivated by this, a thermal-constrained fast charging method is proposed based on the model predictive control (MPC) concept in this paper. A coupled electro-thermal model is established, based on which two model-based observers are devised to estimate the state of charge (SOC) and internal temperature of LIB. On this premise, an MPC-based controller is exploited to trade-off smartly the charging fastness and the physical constraints. Comparative results show that the proposed method can optimize the charging towards high speed while keep the terminal voltage and battery internal temperature both within the safety region, which forms an obvious superiority over the traditionally-used constant-current-constant-voltage (CC-CV) protocol.
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