首页|基于模糊算法的汽车电池组系统降温控制

基于模糊算法的汽车电池组系统降温控制

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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。
Cooling Control of Automotive Battery Pack System Based on Fuzzy Algorithm
The heating and heat transfer mechanism of lithium-ion batteries was analyzed in this paper,and the mathematical model on the temperature of power battery packs was built.The battery model was selected A123-26650 LiFePO4,and the tempera-ture model with 8 individual cells in any row of the power battery pack was established through preprocessing.Through the grid parti-tioning,the preprocessing mathematical model was imported into ANSYS software to simulate the battery heating under actual condi-tions,and compared with the relevant equations of Zuskausks experiment,it verified 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 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.An adaptive fuzzy PID controller was designed to verify the experiments through MATLAB/Sim-ulink simulation the results show that the controller can effectively control the battery temperature to the expected value,which has a certain practical application value.

lithium-ion batteriesmathematical modelANSYSfuzzy PIDMATLAB/Simulink

谢存、米俊宇、王蒙蒙

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陆军工程大学军械士官学校,武汉 430075

北京振兴计量测试研究所,北京 100074

锂离子电池 数学模型 ANSYS 模糊PID控制器 Matlab/Simulink

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(6)
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