基于模糊算法的汽车电池组系统降温控制

Cooling Control of Automotive Battery Pack System Based on Fuzzy Algorithm

摘要:

分析了锂离子电池的发热和传热机理，构建了动力电池组温度数学模型。选用的电池为A123-26650 LiFePO4电池，通过预处理过程建立了动力电池组中的任意一行中8个电池单体温度模型，并网格划分化；将预处理过程中建立数学模型导入到ANSYS软件。利用ANSYS对实际条件下电池发热进行仿真，并与Zuskausks实验相关方程进行比较，验证文中所建立的动力电池CFD模型可靠性。在恒定冷却液流速条件下，通过比较电池温度数学模型电池温度和CFD模型电池温度，验证了动力电池数学温度模型可作为控制器作用的仿真对象。设计自适应模糊PID控制器，通过MATLAB/Simulink仿真试验验证该控制器能够很好控制电池温度至期望值，具有一定实际应用价值。

Abstract:

Analyzed the heating and heat transfer mechanisms of lithium-ion batteries, and constructed a mathematical model for the temperature of power battery packs. The selected battery is A123-26650 LiFePO4 battery, and a temperature model of 8 individual cells in any row of the power battery pack was established through preprocessing, and grid partitioning was performed; Import the mathematical model established during the preprocessing process into ANSYS software. Simulate the battery heating under actual conditions using ANSYS and compare it with the relevant equations of the Zuskausks experiment to verify the reliability of the power battery CFD model established in the paper. Under the condition of constant coolant flow rate, the mathematical model of battery temperature and the CFD model of battery temperature were compared to verify that the mathematical temperature model of the power battery can serve as a simulation object for the controller. Design an adaptive fuzzy PID controller, and verify through MATLAB/Simulink simulation experiments that the controller can effectively control the battery temperature to the expected value, which has certain practical application value.