Abstract In this chapter, according to the characteristics of the electric vehicle regenerative braking, considering safety, economy, and comfort in adaptive cruise control, a kind of electric vehicle adaptive cruise control algorithm has been built, which has two layers, the decision layer calculates the optimal acceleration based on the model predictive control algorithm and vehicle longitudinal control layer tracks the optimal acceleration with fuzzy algorithm. Then, using the software Amesim and Simulink to simulate the typical working condition simulations, the results show that the control algorithm can effectively realize electric vehicle adaptive cruise, and capture braking energy.


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    Title :

    Study on the Electric Vehicle Adaptive Cruise Control Based on the Model Predictive Control Algorithm


    Contributors:
    Gao, Zhenhai (author) / Song, Hai (author)


    Publication date :

    2018-09-16


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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