The invention discloses a method for predicting the service life of an automobile battery, and relates to the technical field of new energy vehicles, and the method comprises the following steps: 1, collecting a plurality of battery state parameters at the current moment according to a sampling period; wherein the plurality of battery state parameters comprise lithium ion battery capacity, charge state, discharge voltage and charge voltage; 2, calculating the attribute importance degrees of the plurality of battery state parameters, and obtaining the battery state parameter with the maximum attribute importance degree; 3, inputting the battery state parameter with the maximum attribute importance degree into a mutation particle swarm optimization algorithm model to obtain a global optimal particle; and step 4, inputting the global optimal particles into an SVM model to obtain a life prediction value of the automobile battery. The method has the characteristic of improving the prediction accuracy.

    本发明公开了一种汽车电池的寿命预测方法,本发明涉及新能源车辆技术领域,包括如下步骤:步骤一、按照采样周期,采集当前时刻的多个电池状态参数;其中,所述多个电池状态参数包括锂离子电池容量、荷电状态、放电电压和充电电压;步骤二、计算所述多个电池状态参数的属性重要度,获得属性重要度最大的电池状态参数;步骤三、将所述属性重要度最大的电池状态参数输入变异粒子群优化算法模型中,获得全局最优粒子;步骤四、将所述全局最优粒子输入至SVM模型中,获得汽车电池的寿命预测值。本发明具有提高预测精确度的特点。


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    Title :

    Method for predicting service life of automobile battery


    Additional title:

    一种汽车电池的寿命预测方法


    Contributors:
    CUI NING (author)

    Publication date :

    2024-08-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G01R Messen elektrischer Größen , MEASURING ELECTRIC VARIABLES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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