T. Telmasre, Anthony César Concepción, S. Kolluri, Lubhani Mishra, R. Thiagarajan, Aditya Naveen Matam, Akshay Subramaniam, Taylor R. Garrick, V. Subramanian
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引用次数: 0
摘要
基于物理的电化学模型在锂离子电池和下一代电池的模型分析、虚拟工程和电池管理系统（BMS）中发挥着重要作用。在此，我们展示了相场模型丰富的物理特性，并传达了其在 BMS 应用中的潜力。我们基于相场模型的优化框架预测了一种类似脉冲的控制曲线，以减少容量衰减。这项工作的部分灵感来自 Landau 教授在其 2006 年著作中提出的脉冲充电协议[B. K. Purushothaman and U. Landau, J Electrochem Soc, 153, A533 (2006)]。我们共享了一个开源框架，用于预测所报告的（非）脉冲协议。
Perspective—Moving Next-Generation Phase-Field Models to BMS Applications:A Case Study that Confirms Professor Uzi Landau's Foresight
Physics-based electrochemical models play a prominent role in the model-based analysis, virtual engineering, and battery management systems (BMS) of lithium-ion and next-generation batteries. Here, we demonstrate the rich physics of phase-field models and convey their potential in BMS applications. Our phase-field model-based optimization framework predicts an impulse-like control profile to reduce capacity degradation. This work was partially inspired by the pulse-charging protocol proposed by Professor Landau in his 2006 work [B. K. Purushothaman and U. Landau, J Electrochem Soc, 153, A533 (2006)]. An open-source framework is shared for predicting the (im)pulse protocol reported.
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