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基于模糊算法的汽車(chē)電池組系統降溫控制
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1.中國人民解放軍陸軍工程大學(xué);2.北京振興計量測試研究所

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V249

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Cooling Control of Automotive Battery Pack System Based on Fuzzy Algorithm
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    摘要:

    分析了鋰離子電池的發(fā)熱和傳熱機理,構建了動(dòng)力電池組溫度數學(xué)模型。選用的電池為A123-26650 LiFePO4電池,通過(guò)預處理過(guò)程建立了動(dòng)力電池組中的任意一行中8個(gè)電池單體溫度模型,并網(wǎng)格劃分化;將預處理過(guò)程中建立數學(xué)模型導入到ANSYS軟件。利用ANSYS對實(shí)際條件下電池發(fā)熱進(jìn)行仿真,并與Zuskausks實(shí)驗相關(guān)方程進(jìn)行比較,驗證文中所建立的動(dòng)力電池CFD模型可靠性。在恒定冷卻液流速條件下,通過(guò)比較電池溫度數學(xué)模型電池溫度和CFD模型電池溫度,驗證了動(dòng)力電池數學(xué)溫度模型可作為控制器作用的仿真對象。設計自適應模糊PID控制器,通過(guò)MATLAB/Simulink仿真試驗驗證該控制器能夠很好控制電池溫度至期望值,具有一定實(shí)際應用價(jià)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.

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謝存,米俊宇,任程,王蒙蒙,李現磊,王斌.基于模糊算法的汽車(chē)電池組系統降溫控制計算機測量與控制[J].,2024,32(6):160-165.

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歷史
  • 收稿日期:2023-12-19
  • 最后修改日期:2024-01-28
  • 錄用日期:2024-01-30
  • 在線(xiàn)發(fā)布日期: 2024-06-18
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