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Configuration optimization of battery pack in parallel air-cooled battery thermal management system using an optimization strategy

机译:采用优化策略配置防滑电池热管理系统电池组的配置优化

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摘要

Battery thermal management system (BTMS) is essential for heat dissipation of the battery pack to guarantee the safety of electric vehicles. Among the various BTMSs, the parallel air-cooled system is one of the most commonly used solutions. In this paper, the configuration of the battery pack in parallel air-cooled BTMS is optimized through arranging the spacings among the battery cells for cooling performance improvement. The flow resistance network model is introduced to calculate the velocities of the cooling channels. The heat transfer model is used to calculate the battery cell temperature. Combining these two models, an optimization strategy is proposed to optimize the configuration of the battery pack under the constant cell heat generation rate. The numerical results of typical cases show that the optimization strategy can obtain the final solution in only several times of adjustments of cell spacings. The cooling performance of the BTMS is improved remarkably after optimization. The maximum temperature difference is reduced by 42% and the maximum temperature of the battery pack is reduced slightly after optimization, with no increment on the total pressure drop of the system. Furthermore, the optimized BTMS still performs much better than the original one for various inlet flow rates and for the situation of unsteady heat generation rate. (C) 2017 Published by Elsevier Ltd.
机译:电池热管理系统(BTMS)对于电池组的散热至关重要,以保证电动车辆的安全性。在各种BTMS中,并行空气冷却系统是最常用的解决方案之一。在本文中,通过布置电池单元中的间隔来冷却性能改善,优化了并行风冷BTMS中的电池组的配置。引入了流动阻力网络模型以计算冷却通道的速度。传热模型用于计算电池电池温度。组合这两个模型,提出了优化策略以优化在恒定小区发热率下电池组的配置。典型案例的数值结果表明,优化策略可以仅在几次调整细胞间距中获得最终解决方案。优化后,BTM的冷却性能显着提高。最高温度差异减小42%,优化后电池组的最高温度略微降低,没有增加系统的总压降。此外,优化的BTMS仍然优于各种入口流量的原始BTMS更好,并且对于不稳定的发热速率的情况。 (c)2017年由elestvier有限公司出版

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