Abstract
To optimize the energy economy of the vehicle and ensuring driving safety during cornering, this paper explores the model predictive control (MPC) online gear optimization decision-making method for a P2 configuration connected plug-in hybrid electric vehicle (PHEV) equipped with a 6-speed dual-clutch automatic transmission on the assumption that the information of the corner ahead can be obtained by high-precision localization or V2X and other technology. First, the maximum cornering speed is determined by combining the critical speed simulation results of CarSim and the speed limit conditions of the corner ahead; then, a speed planning method based on cubic Bessel curves is proposed to generate a reference speed for the vehicle’s variable-speed motion during deceleration before entering a corner and acceleration after exiting a corner; finally, based on the speed planning results and experienced drivers’ corner shifting habits, the MPC gear decision strategy for PHEVs suitable to corner scenarios is formulated. And, offline simulation tests and hardware-in-the-loop tests are carried out to validate the effectiveness of the proposed MPC online gear decision method.
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