Modeling and Control Optimization for Peugeot 3008 Hybrid4

Abstract

The energy management strategy is one of the key technologies for the design and development of hybrid electric vehicles (HEVs). In order to investigate the maximum potentials of various powertrain architectures and components in terms of fuel and emissions savings, an optimization for the energy management strategy is necessary. This paper will introduce one of the optimization-based energy management strategies, Dynamic Programming (DP). It is well known as it guarantees a global optimization of the power flow distribution between the combustion engine and the electric machines while taking into account the constraints of subsystems. In this paper, the principle of DP will be presented, and an application example in Peugeot 3008 Hybrid4 is given. The optimized strategy was simulated and analysis has been done based on the results with and without optimization. Even though DP is an off-line and non-causal optimization, it serves as a benchmark for comparison with the existing strategy. Thanks to DP, a rule-based strategy extracted from the DP optimization results is implemented and compared. This could be referred in the future strategy design.