Modeling and Simulation of a Plug-in HEV with Two Clutches Using DOE and Approximate Model

摘要

In this paper, a parallel plug-in Hybrid electric vehicles (PHEV) is discussed and introduced, and the Powertrain System Analysis Toolkit (PSAT) is used as the main modeling and analyzing tool. The configuration of the PHEV is electric machine Pretransmission parallel with two clutches and the control strategy logic is related to the engine ON/OFF logic. A 101-level DOE study was carried out using Design of Experiments (Optimal Latin Hypercube method) to explore the design space and identify significant control strategy parameters. An Approximate Model based DOE database is created using the Kriging model. Finally, the Approximate Model is subsequently used for executing the optimization of fuel consumption of the PHEV by Multi-island Genetic Algorithm under the NEDC drive cycles. The fuel economy and main performance criteria of the PHEV are compared for the initial design and final optimal design. An optimal control solution resulting from an extensive search of the entire design space by Multiisland Genetic Algorithm can provide physical insight into the PHEV operation.