Joint non-invasive identification of an electrochemical and thermal model for an ultra high-power Li-ion pouch cell

IF 4.6 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Control Engineering Practice Pub Date : 2025-03-01 Epub Date: 2025-01-09 DOI:10.1016/j.conengprac.2024.106228
Andrea Trivella, Stefano Radrizzani, Matteo Corno, Sergio M. Savaresi
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Abstract

Accurate physical models of battery cells are required to design safe and reliable Battery Management Systems (BMSs). Due to the safety-critical nature of cell voltage and temperature, both the electrical and thermal behavior of the cell need to be precisely predicted. In this work, an electrochemical – the Single Particle Model (SPM) – and a lumped thermal model are experimentally identified and validated for an ultra high-power pouch cell. To ease its application, the proposed identification procedure is based exclusively on non-invasive tests, i.e., requiring only voltage, current, and temperature measurements. Specifically, the identification protocol is based on two steps: (1) the equilibrium potentials are identified from quasi-static tests; (2) the kinetics and thermal parameters are jointly optimized from a highly dynamic current profile. Due to the high power requirements, the considered pouch cell is always kept pressed by an external fixture, which is properly considered in the modeling and identification. The SPM is compared with a first-order Equivalent Circuit Model (ECM) and the validation is finally performed on two different dynamic tests, showing the good capability of the identified electrochemical and thermal model to match the measured outputs (voltage and temperature) while giving an insight on the internal cell states.
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超高功率锂离子袋状电池的电化学和热模型联合无创鉴定
为了设计安全可靠的电池管理系统(bms),需要精确的电池物理模型。由于电池电压和温度的安全关键性质,电池的电和热行为都需要精确预测。在这项工作中,通过实验确定并验证了超高功率袋状电池的电化学-单粒子模型(SPM)和集总热模型。为了简化其应用,建议的识别程序完全基于非侵入性测试,即只需要电压、电流和温度测量。具体来说,识别方案基于两个步骤:(1)从准静态测试中识别平衡势;(2)根据高动态电流分布对动力学和热参数进行了联合优化。由于高功率要求,所考虑的袋状电池始终由外部夹具保持压力,这在建模和识别中得到了适当的考虑。将SPM与一阶等效电路模型(ECM)进行了比较,最后在两个不同的动态测试中进行了验证,表明所识别的电化学和热模型能够很好地匹配测量输出(电压和温度),同时对电池内部状态有了深入的了解。
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来源期刊
Control Engineering Practice
Control Engineering Practice 工程技术-工程:电子与电气
CiteScore
9.20
自引率
12.20%
发文量
183
审稿时长
44 days
期刊介绍: Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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