A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle. (15th August 2017)

• Record Type: Journal Article
• Authors: Caux, Stéphane; Gaoua, Yacine; Lopez, Pierre
• Is Part Of: Energy. Volume 133(2017)
• Page Start: 219
• Page End: 230
• Publication Date: 2017-08-15
• Subjects: Fuel cell vehicle -- Energy management -- Global optimisation -- Combinatorial approach -- Integer linear programming -- Robustness; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2017.05.109
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Hybrid Electric Vehicles are becoming more and more prevalent for economic and environmental reasons. Many studies have been conducted in order to improve Hybrid Electric Vehicle performance by increasing their autonomy while respecting the power demand of the electric motor and various constraints. Focusing on the Hybrid Electric Vehicle energy management problem, different approaches and strategies already exist based on non-linear modelling, selection of adequate architecture and source design or the expertise of the manufacturer in the domain. In this paper, a new combinatorial approach is presented to optimally manage offline Hybrid Electric Vehicle energy distribution, composed of two energy sources: a fuel cell as a main source and a super-capacitor for energy storage. New mathematical modelling has been developed that reflects the functioning of the Hybrid Electric Vehicle energy chain, using an exact method to provide an optimal solution that corresponds to hydrogen consumption. Simulations were performed on different realistic mission profiles that showed a significant gain in solution quality and computation time compared with other approaches presented in the literature. Since the quality of solutions depends on the reliability of input data, including disruptions, a robustness study also is carried out. Highlights: Fuel cell and energy storage management for Hybrid Electrical Vehicle. A new combinatorial approach is proposed for optimal energy distribution. The mathematical model is solved using an exact method. Simulations are performed on different realistic driving cycles. A robustness study is carried out to evaluate the approach coping with disruptions.