Predictive and Fuzzy Logic Controller Based P2 HEV Energy Management Strategy Benchmark

Hybrid electric vehicles (HEV) are still being a brilliant mix of both worlds, even though most of the research state HEVs bring a temporal solution in terms of environmental preservation and energy conservation before a breakthrough in battery and fuel cell technologies. To enhance HEV performance, energy management strategy is vital. The primary aim of this study is to determine the optimum energy management strategy for a HEV controller. Virtual test platform is composed of the co-simulation of a HEV model with P2 architecture which is developed in AVL CRUISE™ M and hybrid control unit software with three different control strategies as: rule-based, fuzzy logic and predictive. These strategies have been tested on a highly dynamic cycle called Real Driving Emissions (RDE) cycle which simulates both flat and inclined roads. In conclusion, the paper provides the performance metrics of instantaneous state of charge and cumulated fuel consumption in the test results of the combinations of rule-based, fuzzy logic and predictive control.