Optimal energy management in a dual-storage fuel-cell hybrid vehicle using multi-dimensional dynamic programming

• Published in: Journal of power sources Vol. 250; pp. 359 - 371
• Main Authors: Ansarey, Mehdi, Shariat Panahi, Masoud, Ziarati, Hussein, Mahjoob, Mohammad
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 15.03.2014; Elsevier
• Subjects: Applied sciences; Dual-storage system; Energy management; Exact sciences and technology; Fuel-cell hybrid vehicle; Ground, air and sea transportation, marine construction; Multi-dimensional dynamic programming; Optimal control; Road transportation and traffic; Dual-storage system; Fuel-cell hybrid vehicle; Multi-dimensional dynamic programming; Energy management; Optimal control; Storage; Storage system; Electric vehicle; Fuel cell vehicles; Dynamic programming
• ISSN: 0378-7753; 1873-2755
• DOI: 10.1016/j.jpowsour.2013.10.145

Hybrid storage systems consisting of battery and ultra-capacitor have recently emerged as an alternative to the conventional single buffer layout in hybrid vehicles. Their high power and energy density could improve the performance indices of the vehicle, provided that an optimal energy management strategy is employed that could handle systems with multiple degrees of freedom (DOF). The majority of existing energy management strategies is limited to a single DOF and the small body of work on multi-DOF systems is mainly heuristic-based. We propose an optimal solution to the energy management problem in fuel-cell hybrid vehicles with dual storage buffer for fuel economy in a standard driving cycle using multi-dimensional dynamic programming (MDDP). An efficient MDDP code is developed using MATLAB™'s vectorization feature that helps reduce the inherently high computational cost of MDDP. Results of multiple simulated experiments are presented to demonstrate the applicability and performance of the proposed strategy. A comparison is also made between a single and a double buffer fuel-cell hybrid vehicle in various driving cycles to determine the maximum reduction in fuel consumption that can be achieved by the addition of an ultra-capacitor. [Display omitted] •Investigation of the model-based optimal energy management of a fuel-cell hybrid vehicle.•Vehicle equipped with battery and ultracapacitor hybrid storage system.•Development of multi-dimensional dynamic programming code for 2-DOF energy management problem.•Determination of maximum potential of using hybrid storage in reducing fuel consumption.•Hybrid storage improved fuel consumption especially in acceleration and braking.