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Contribution of developing a prognostics-based energy management strategy for fuel cell hybrid system - application to a fuel cell/battery hybrid electric vehicle

Abstract : Fuel cell hybrid propulsion system is gaining momentum in today's automotive market and offers a sustainable solution for the world climate change in the transport sector. However, the durability and reliability of the power sources used in the hybrid system are the inevitable obstacles for its massive commercialization. To optimize and maximize the lifespan of the hybrid system, a prognostics and health management (PHM) approach is deployed to manage and mitigate the power source degradation behaviour and applied to a fuel cell hybrid electric vehicle.In this context, two main contributions are made. The first stage is to deploy a prognostics method that can be used in the hybrid system. Particle filtering, as a commonly used state estimation method, is adapted for prognostics purpose in this thesis. It is used to handle the imprecise and uncertain degradation data and estimate the remaining useful life. The method is validated by historical fuel cell and battery datasets and the results are evaluated by the designed prognostics metrics.Subsequently, a second stage on the health management aspect of PHM is proposed. As the split of demanded power in a hybrid system is managed by an energy management strategy (EMS), the orientation of this stage is to develop a health-conscious EMS in the context of PHM. A great quantity of researches on prognostics with finished experimental data have been found in the literature, while how to use the prognostics results to make corrective control actions is rarely discussed. To help against this vacancy in hybrid system applications, a prognostics-enabled decision-making process is designed. The performance is evaluated by quantifying the degradation and the lifetime of the system in a simulated environment and a discussion on prognostics occurrence is launched for further investigations on maintenance.
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Meiling Yue. Contribution of developing a prognostics-based energy management strategy for fuel cell hybrid system - application to a fuel cell/battery hybrid electric vehicle. Electric power. Université Bourgogne Franche-Comté, 2019. English. ⟨NNT : 2019UBFCD029⟩. ⟨tel-02744268⟩

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