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Systemic design of hybrid and electric powertrains

Abstract : Designing hybrid powertrains is a complex task, which calls for experts from various fields. In addition to this, finding the optimal solution requires a system overview. This can be, depending on the granularity of the models at the component level, highly time-consuming. This is even more true when the system’s performance is determined by its control, as it is the case of the hybrid powertrain. In fact, various possibilities can be selected to deliver the required torque to the wheels during the driving cycle. Hence, the main obstacle is to achieve optimality while keeping the methodology fast and robust. In this work, novel approaches to exploit the full potential of hybridization are proposed and compared. The first strategy is a bi-level approach consisting of two nested optimization blocks: an external design optimization process that calculates the best fuel consumption value at each iteration, found through control optimization using an improved version of dynamic programming. Two different systemic design strategies based on the iterative scheme are proposed as well. The first approach is based on model reduction while the second approach relies on precise cycle reduction techniques. The latter enables the use of high precision models without penalizing the calculation time. A co-optimization approach is implemented afterwards which adjusts both the design variables and parameters of a new efficient rule-based strategy. This allows for faster optimization as opposed to an all-at-once approach. Finally, a meta-model based technique is explored.
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Submitted on : Thursday, April 1, 2021 - 2:06:08 PM
Last modification on : Friday, April 2, 2021 - 3:26:12 AM


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  • HAL Id : tel-03187838, version 1


Adham Kaloun. Systemic design of hybrid and electric powertrains. Other. Ecole Centrale de Lille, 2020. English. ⟨NNT : 2020ECLI0019⟩. ⟨tel-03187838⟩



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