Dynamometer test of a rule-based discharge strategy for plug-in hybrid electric vehicles

This paper presents a rule-based battery discharge strategy for a Plug-in Hybrid Electric Vehicle. The main idea is to exploit results of previous research and synthesize a strategy that mimic optimal battery State of Charge (SoC) discharge behaviour. A subsystem called the Target SoC Optimizer computes a sequence of target SoCs at specified driving distances along a given trip prediction. The Power Limit Optimizer subsystem is then responsible for adapting the engine on/off power limits so that the upcoming target SoC is reached. Simulations and tests in a vehicle dynamometer show that the proposed strategy can decrease fuel consumption with more than 5% compared to the nominal Depletion-Sustain discharge strategy.