在离子电池中休息期电压放松的精确解决方案,用于电池管理系统的应用
Sagar Bharathraj1, Shashishekar P Adiga1, K Subramanya Mayya1
1NextGen Projects, Samsung Advanced Institute of Technology, Samsung Semiconductor India Research, Bangalore, India.
通过新的分析模型,现在可以准确估计离子电池在休息期间的充电状态 (SOC). 这种方法可以在不中断服务的情况下可靠地监测电池的健康状况.
科学领域:
- 电化学 电化学 电化学
- 材料科学 材料科学 材料科学
- 电池技术 电池技术
背景情况:
- 休息期电压放松是评估电池充电状态 (SOC) 和健康状况的关键非侵入性技术.
- 准确的车载建模对于使用电压放松可靠的SOC估计至关重要.
- 电压放松动态受到扩散性和度概况等因素的影响.
研究的目的:
- 开发一个准确的分析模型,用于预测在休息期间的离子电池充电状态.
- 提供一个计算效率高的解决方案,适合在电池管理系统中实现.
主要方法:
- 在休息期间解决了电极粒子的球形扩散方程.
- 应用同质的边界条件 (在中心和表面没有流量).
- 获得了度和SOC演变的分析表达式.
主要成果:
- 开发了一个分析解决方案,用于时空度和SOC在休息期间的演变.
- 该模型有效计算平衡和短暂的SOC配置文件.
- 与电化学热模型相比,模型预测的准确性超过95%.
结论:
- 由此衍生的分析模型提供了一种高效且准确的方法,用于在电池休息期间进行车载SOC估计.
- 这种方法可轻松可靠的电池健康监测,无需服务中断.
- 该模型适用于电池管理系统的适用性得到证实.
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