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Optimisation multicritère de la gestion de la recharge d'une flotte de bus électriques

Abstract : Electro-mobility is increasing significantly in the urban public transport and continues to face important challenges. Electric bus fleets require high performance and extended longevity of lithium-ion battery in highly variable temperature and operating conditions. On the other hand, bus operators are more and more concerned in reducing operation and maintenance cost, which is sensitive to battery aging cost and represents a significant economic parameter for the deployment of electric bus fleets. This thesis presents a methodological approach for optimizing the overnight charging of an electric bus fleet to the depot. This approach is based on both charging scheduling and power modulation in order to minimize a given criterion or several criteria at the same time (e.g. the charging cost, the effective power, battery aging ...). This approach uses an exact optimization methods or Metaheuristics methods according to the type of optimization (mono-objective or multi- objective) and according to the criterion while taking into account the constraints related to bus operating conditions, charging infrastructure and the power grid. This approach has been developed to take into account several battery’s technologies as well as different types of recharging. An electro-thermal and aging model of lithium-ion batteries was developed based on existing models, literature as well as experimental tests. This allowed us to take into account the dynamics of the battery and predict the evolution of its performance when it is subject to variable conditions of use. To illustrate this methodology, a case study was presented in the last chapter and allows a smart managing of large-scale fleet of electric buses that try to maximize in particular the battery lifetime
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Submitted on : Thursday, April 9, 2020 - 9:44:09 AM
Last modification on : Wednesday, December 30, 2020 - 1:08:06 PM


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  • HAL Id : tel-02537873, version 1



Adnane Houbbadi. Optimisation multicritère de la gestion de la recharge d'une flotte de bus électriques. Energie électrique. Université de Lyon, 2020. Français. ⟨NNT : 2020LYSE1014⟩. ⟨tel-02537873⟩



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