Thermal management of a high temperature sodium sulphur battery stack

核工程 电池(电) 材料科学 堆栈(抽象数据类型) 相变材料 等温过程 主动冷却 汽车工程 热失控 空气冷却 水冷 储能 环境科学 热的 热力学 计算机科学 功率(物理) 工程类 物理 程序设计语言
作者
Sai Pushpitha Vudata,Debangsu Bhattacharyya
出处
期刊:International Journal of Heat and Mass Transfer [Elsevier BV]
卷期号:181: 122025-122025 被引量:24
标识
DOI:10.1016/j.ijheatmasstransfer.2021.122025
摘要

• A non-isothermal distributed dynamic model of a NaS battery stack developed. • Orthogonal collocation used for model reduction. • Active, passive, and hybrid thermal management strategies developed. • Greatest flexibility obtained using a hybrid approach with a phase change material and fan. • Tradeoff between capital and operating costs, and variability in heat rejection rate observed. The sodium sulfur battery is an advanced secondary battery with high potential for grid-level storage due to their high energy density, low cost of the reactants, and high open-circuit voltage. However, as the operating temperature of the battery is high (about 300 °C), effective thermal management is required to prevent thermal runaway under high current density operation. To develop efficient thermal management strategies, a detailed, thermo-electrochemical, non-isothermal, distributed dynamic model of a sodium-sulfur battery stack is developed. Models of three thermal management strategies are developed and analyzed in this work: active cooling, passive cooling, and hybrid cooling. The active cooling strategy uses air as the cooling medium whereas, the passive cooling strategy uses a phase change material. In the hybrid cooling strategy, both active and passive cooling strategies are used. Due to the high operating temperature of the sodium sulfur batteries, the rejected heat can be utilized effectively and consequently a high variability in the heat rejection rate may not be acceptable. Performance of these strategies is analyzed under high current density operation by evaluating the variability in the cell temperature during charge/discharge cycles, temperature difference between the cells based on their locations, and variability in the heat rejection rate. The phase change-based hybrid thermal management strategy with an embedded controller maintained the temperature variation within ±/- 2.8 °C. Considering the tradeoff between the capital cost for PCM, fan power requirement, and variability in the heat rejection rate, the optimal quantity of the PCM and the maximum air velocity for the maximum current density of 260 mA/cm 2 (0.55 C-rate) were found be 0.74 g/Wh and 3 m/s, respectively.
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