In order to reduce driver's anxiety about range and energy, a direct and effective approach is to offer the remaining driving range based on the vehicle's states. Consequently, the estimation accuracy of the battery's remaining energy is very important. This paper introduces a experiment-based model for predicting the remaining energy, which considers many factors, such as current, temperature, difference between battery cells, and so on. This approach ensures the accuracy of the remaining driving range. Finally the method is validated through the environment space test. Validation results show that this method can offer exact remaining energy, which reduces the estimation error of the remaining range greatly.


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    Title :

    Research on Driving Range Estimation for Electric Vehicles Based on Corrected Battery Model


    Additional title:

    Sae Technical Papers


    Contributors:
    Feng, Chao (author) / Liu, Guangming (author) / Fu, Hong (author) / Hua, Jianfeng (author) / Lu, Languang (author) / Ouyang, Minggao (author) / Xue, Shan (author) / Wang, Yanjing (author)

    Conference:

    SAE 2015 World Congress & Exhibition ; 2015



    Publication date :

    2015-04-14




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Research on Driving Range Estimation for Electric Vehicles Based on Corrected Battery Model

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