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Home > Thèses et HDR > Thèses en 2021

14/12/2021 - Xavier HUIN

by Laurent Krähenbühl - published on , updated on


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Xavier Huin defends his PhD on Dec. 14, 2021 at 10:00 AM.
Place : Amphithéâtre Vannier, bâtiment Louis Néel, INSA LYON.

Powertrain design optimization of a commercial plug-in hybrid vehicle operating in zero-emission zones

Jury :
Reviewers : CHRENKO Daniela (UTBM), CAUX Stephane (ENSEEIHT)
Members : BASSET Michel (UHA), EL GANAOUI-MOURLAN Ouafae (IFP school), SJÖBERG Jonas (Chalmers), PETIT Nicolas (MINES ParisTech )
Supervision : BIDEAUX Eric, DIrecteur de thèse (Ampère, INSA de Lyon), DI LORETO Michael, co-Directeur (Ampère, INSA de Lyon), BENZAOUI Hellal, co-directeur de thèse (RENAULT TRUCKS)

Abstract :
In order to fight climate change, the European Commission has set a target of reducing CO2 emissions from commercial vehicles by at least 30 % by 2030 compared to a baseline period of 2019-2020. In addition, the introduction of low and zero-emission zones in major European cities, such as Paris in 2024, is planned by local authorities to limit or ban the use of internal combustion engines in order to improve air quality. Hybridization of the vehicle powertrain and the development of engines dedicated to these applications therefore seems to be an appropriate solution to significantly reduce fuel consumption and pollutant emissions. However, the choice of component sizing and control strategy for this type of vehicle can be complex in order to meet performance requirements while limiting system costs. Indeed, solving this nonlinear optimization problem includes many continuous and discrete variables and requires the use of reliable and efficient tools.

In this thesis, we propose a global optimization method for the optimal design and energy management of plug-in hybrid electric vehicles based on combinatorial optimization. The original coupled powertrain design and energy management problem is reformulated into a combination of integer linear subproblems that are solved using a Branch & Bound algorithm. New constraints in the optimization problem on NOx emissions, the number of activations of the different actuators or the zero-emission zones are taken into account to improve the results obtained. Moreover, the addition of new design variables for the engine and the battery allows to better define the specifications needed for the detailed development of these components dedicated to hybrid vehicles. The optimization problem is evaluated on an average regional delivery use case in 2030 and the results are validated with a detailed simulation tool. Finally, a new analytical sensitivity analysis approach is proposed to study the sensitivity of the total cost of ownership of the vehicle to the variation of some parameters such as the transport missions or the sizing of the electric propulsion with a very low computation cost.

Keywords : plug-in hybrid electric vehicle, optimal energy management, optimization based-design, combinatorial optimization, sensitivity analysis.