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Energy management strategies for battery electric bus fleet

Abstract : Initiatives to decrease emissions from the transport sector are increasing worldwide by seeking alternative technologies to replace oil-based mobility. Battery Electric Buses (BEB) present a promising solution thanks to their high energy efficiency, low greenhouse gas emissions and the absence of local pollutant emissions. However, this technology still faces many challenges, especially its high total cost of ownership (TCO) and other operational factors such as the limited bus driving range, the high energy refueling time, and the required charging technologies and strategies. In this context, this thesis presents a systematic methodology that aims at developing solutions to help overcoming these challenges by providing optimal battery sizing and charging strategy for BEB. First, a comprehensive multi-physical bus energy model is developed to evaluate its energy needs considering all the energy systems encountered within. The energy consumption of the bus is then evaluated at a variety of operating conditions. Then, a techno-economic model of an entire bus line is developed in order to assess the impact of different battery sizing and charging strategies on the costs and operation of BEB. A TCO model is introduced considering the BEB unit costs, battery purchase and replacement costs, energy and power costs, infrastructure, and maintenance costs. A case study in Paris city is presented and the analysis reveals the resulting tradeoff between the TCO and BEB schedule disruptions and delays as function of different battery sizes and charging strategies. A methodology to minimize the TCO of BEB deployment is presented providing the optimal battery sizing and charging strategy for BEB, while respecting the BEB operation constraints. The methodology is a 2-step optimization algorithm that utilizes both Dynamic programming and Genetic Algorithm optimization routines. The results show that the proposed methodology could reduce the BEB TCO between 15-25% compared to the currently adopted approaches to deploy BEB.
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Submitted on : Friday, July 1, 2022 - 1:01:51 AM
Last modification on : Saturday, July 2, 2022 - 3:04:46 AM


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  • HAL Id : tel-03710820, version 1


Hussein Basma. Energy management strategies for battery electric bus fleet. Electric power. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLM036⟩. ⟨tel-03710820⟩



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