Feedback-based fault-tolerant and health-adaptive optimal charging of batteries
Feedback-based fault-tolerant and health-adaptive optimal charging of batteries
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DOI：
10.1016/j.apenergy.2023.121187
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发表时间：
2023-08
期刊：
影响因子：
11.2
通讯作者：
S. Sattarzadeh;S. K. Padisala;Ying Shi;Partha P. Mishra;K. Smith;Satadru Dey
中科院分区：
文献类型：
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作者：
S. Sattarzadeh;S. K. Padisala;Ying Shi;Partha P. Mishra;K. Smith;Satadru Dey
阻碍电动汽车（EV）发展的关键技术障碍是充电时间长，EV电池寿命短和电池安全性。具体而言，EV充电协议对电池寿命和安全性具有显著影响。如果充电不当，电池的寿命可能会缩短，更重要的是，充电不当会导致电池故障，从而导致灾难性的故障。为了克服这些障碍，我们提出了一种基于闭环反馈的方法，该方法能够实时优化快速充电协议以适应电池健康状况，并具有主动诊断能力，在充电过程中，它检测实时故障并采取纠正措施以减轻这种故障影响。我们利用电池电热模型，明确的电池容量和功率衰减老化模型，和热故障模型来捕捉电池的行为。结合模型，我们采用线性二次型最优控制技术来实现基于反馈的控制算法。仿真研究表明了该方案的有效性。
The key technology barriers that hinder the growth of Electric Vehicles (EVs) are long charging time, the shorter life-time of EV batteries, and battery safety. Specifically, EV charging protocols have significant effects on battery lifetime and safety. If not charged properly, the battery could end up with shorter life, and more importantly, improper charging can cause battery faults leading to catastrophic failures. To overcome these barriers, we propose a closed-loop feedback based approach, that enables real-time optimal fast charging protocol adaptation to battery health and possess active diagnostic capabilities in the sense that, during charging, it detects real-time faults and takes corrective action to mitigate such fault effects. We utilize battery electrical–thermal model, explicit battery capacity and power fade aging models, and thermal fault model to capture battery behavior. In conjunction with the models, we adopt linear quadratic optimal control techniques to realize the feedback-based control algorithm. Simulation studies are presented to illustrate the effectiveness of the proposed scheme.