2017/08/22 by Mehdi Jalalmaab, Jalalmaab, Mehdi, Nasser L. Azad +1
Engineering · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #Electric and Hybrid Vehicle Technologies #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1708.06859
openalex publication_date 2017/08/22 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
In this study, a stochastic power management strategy for in-wheel motor\nelectric vehicles (IWM-EV) is proposed to reduce the energy consumption and\nincrease the driving range by considering the unpredictable nature of the\ndriving power demand. A stochastic dynamic programming (SDP) approach, policy\niteration algorithm, is used to create an infinite horizon problem formulation\nto calculate optimal power distribution policies for the vehicle. The developed\nSDP strategy distributes the demanded power, between the front and rear IWMs by\nconsidering states of the vehicle, including the vehicle speed and the front\nand the rear wheels' slip ratios. In addition, a skid avoidance rule is added\nto the power management strategy to maintain the wheels' slip ratios within the\ndesired values. Undesirable slip ratios cause poor brake and traction control\nperformances and therefore should be avoided. The resulting strategy consists\nof a time- invariant, rule-based controller which is fast enough for real-time\nimplementations, and additionally, it is not expensive to be launched since the\nfuture power demand is approximated without a need to vehicle communication\nsystems or telemetric capability. A high-fidelity model of an IWM-EV is\ndeveloped in the Autonomie/Simulink environment for evaluating the proposed\nstrategy. The simulation results show that the proposed SDP strategy is more\nefficient in comparison to some benchmark strategies, such as an equal power\ndistribution (ED) and generalized rule- based dynamic programming (GRDP). The\nsimulation results of different driving scenarios for the considered IWM-EV\nshows the proposed power management strategy leads to considerable energy\nconsumption reduction in average, at no additional cost.\n