2019/05/29 by Sebastian East, East, Sebastian, Mark Cannon +1
Engineering · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #Electric and Hybrid Vehicle Technologies #FOS: Mathematics #Optimization and Control (math.OC)
paper · pdf · doi:10.48550/arxiv.1905.12354
openalex publication_date 2019/05/29 · openalex created_date 2022/07/13 · openalex updated_date 2026/07/28
In this paper we demonstrate a novel alternating direction method of\nmultipliers (ADMM) algorithm for the solution of the hybrid vehicle energy\nmanagement problem considering both power split and engine on/off decisions.\nThe solution of a convex relaxation of the problem is used to initialize the\noptimization, which is necessarily nonconvex, and whilst only local convergence\ncan be guaranteed, it is demonstrated that the algorithm will terminate with\nthe optimal power split for the given engine switching sequence. The algorithm\nis compared in simulation against a charge-depleting/charge-sustaining (CDCS)\nstrategy and dynamic programming (DP) using real world driver behaviour data,\nand it is demonstrated that the algorithm achieves 90 % of the fuel savings\nobtained using DP with a 3000-fold reduction in computational time.\n