Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology

Abstract

The efficiency of a Hybrid Electric Vehicle (HEV) depends significantly on the quality of the implemented Energy Management Strategy (EMS). To achieve optimal efficiency for different driving situations, an adaption of the EMS regarding the changing boundary conditions e.g. payload, driver behaviour, geodetical data, etc. is recommended. This paper presents an approach for an adaptive EMS based on the Equivalent Fuel Consumption Minimization Strategy (ECMS) for a heavy-duty truck with a P2- Hybrid topology. The first approach to realize an adaptive ECMS takes a variation of the payload into account. The presented Adaptive-ECMS (A-ECMS) is compared to a simple Rule Based (RB) Strategy. The evaluation criteria for both EMS is an equivalent fuel mass reduction potential. In contrast to previous research, this paper considers not only a driving cycle that is used for chassis dynamometer testing but also a real driving cycle from a measurement campaign. It can be shown that the A-ECMS with only one adaption parameter outperforms the simple RB Strategy by up to 1.9 % regarding equivalent fuel consumption in the driving cycle used for chassis dynamometer testing. In the real driving cycle the reduction of equivalent fuel mass realised by the A-ECMS amounts up to 0.43 %.