Multiphysics modeling and optimization of the driving strategy of a light duty fuel cell vehicle

• DOI: 10.1016/j.ijhydene.2017.06.243
• Publication Date: 2017-08-20T23:30:20Z
• Authors: Jean-Christophe O...; Guillaume Wasselynck; Stéphane Chevalier; Bruno Auvity; Christophe Josset; Didier Trichet; Gaetano Squadrito; Nicolas Bernard
• Keywords: Optimization; Multi-physics modeling; [SPI.NRJ]Engineering Sciences [physics]/Electric power; 0211 other engineering and technologies; 621; [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]; 02 engineering and technology; Eco-marathon; Fuel-cell powertrain; 7. Clean energy; 620

This paper presents the optimization of the driving strategy of a high efficiency fuel cell based power train. This power train is developed to equip a light duty urban-concept vehicle that runs energetic races. The objective is to go the furthest with the lowest quantity of fuel. A comprehensive dynamical model is presented, including the mechanical requirement, the thermal behavior of the fuel cell stack and the various losses and consumptions of the power train devices. This model is next integrated into a global optimization algorithm, to determine the best race strategy to be adopted. These results are validated on experimental measurements, obtained during a real race at the Shell Eco-Marathon, in 2015.