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Quantifying Electric Vehicle Battery’s Ohmic Resistance Increase Caused by Degradation from On-board Data

机译:量化由于车载数据退化导致的电动汽车电池的欧姆电阻增加

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摘要

Power battery, as the power source and one of the most significant components in electric vehicles, influences the vehicle’s dynamic performance, service life and safety directly. A deeper understanding of the battery characteristics on real-world electric vehicle applications is beneficial for its energy management optimization, service life prolongation and safe operation. This paper presents a novel method which can estimate the ohmic resistance of lithium-ion power battery accurately with only current and voltage information based on a combination of model linearization, least square algorithm and data-pieces idea. Real-world battery operational data of three electric vehicles over around two years are collected in high frequency and analyzed by the proposed method. The battery ohmic resistance increase is quantified by comparing the resistance-temperature fitting curves of adjacent two years. Results show that the investigated power batteries’ ohmic resistances are sensitive to ambient temperature and ohmic resistance can serve as a suitable index for evaluating battery degradation.
机译:动力电池作为动力源和电动汽车中最重要的组成部分之一,直接影响着车辆的动态性能,使用寿命和安全性。深入了解现实世界电动汽车应用中的电池特性有利于其能源管理优化,使用寿命延长和安全运行。本文结合模型线性化,最小二乘算法和数据思想,提出了一种仅通过电流和电压信息即可准确估算锂离子动力电池欧姆电阻的新方法。高频收集三辆电动汽车在两年内的实际电池运行数据,并通过提出的方法进行分析。通过比较相邻两年的电阻-温度拟合曲线来量化电池欧姆电阻的增加。结果表明,所研究的动力电池的欧姆电阻对环境温度敏感,欧姆电阻可以作为评估电池退化的合适指标。

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