This paper presents a thermal management and control strategy to minimise thermal degradation in Li-ion batteries in a standalone solar-PV – Battery Energy Storage (BES) hybrid power system. The main objectives of this work are: (a) to analyse the effect of temperature on the performance and degradation of the BES system, and (b) to develop a simple, cost-effective thermal management strategy to maintain the BES system temperature (during charging) in a safe operating window. Typically, battery manufacturers estimate the battery life based on standard test conditions, which may be different from the various real-world climatic conditions throughout the year. The change in temperature has a significant effect on battery degradation processes. This paper employs a physics-based electrochemical-thermal single particle model for simulating a Li-ion battery capable of capturing these effects to analyse and address this issue. Simulations for an entire year are performed using real-world solar insolation and household energy consumption data of a residential area in India. The use of physics-based model helps in understanding the thermal aspects of degradation of the BES system. The BES system is better protected against thermally driven capacity fade using the proposed thermal management and control strategy that does not use any external cooling systems.

本文提出了一种热管理和控制策略，以最大程度地减少独立太阳能PV –电池储能（BES）混合电源系统中锂离子电池的热降解。这项工作的主要目标是：（a）分析温度对BES系统性能和降级的影响，以及（b）制定简单，经济高效的热管理策略以维持BES系统温度（在充电）在安全的操作窗口中。通常，电池制造商会根据标准测试条件估算电池寿命，该条件可能与全年的各种实际气候条件有所不同。温度的变化对电池的退化过程有重大影响。本文采用基于物理的电化学-热单粒子模型来模拟能够捕获这些效应的锂离子电池，以分析和解决这一问题。使用真实的日照量和印度某住宅区的家庭能耗数据进行了全年的模拟。基于物理的模型的使用有助于理解BES系统退化的热方面。BES系统使用建议的热管理和控制策略，不使用任何外部冷却系统，可以更好地防止热驱动的容量衰减。基于物理的模型的使用有助于理解BES系统退化的热方面。BES系统采用建议的热管理和控制策略，不使用任何外部冷却系统，可以更好地防止热驱动容量衰减。基于物理的模型的使用有助于理解BES系统退化的热方面。BES系统使用建议的热管理和控制策略，不使用任何外部冷却系统，可以更好地防止热驱动的容量衰减。