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In this paper, a model predictive mixed integer control method for BYD QinPlus DM-i (Dual Model intelligent) plug-in hybrid electric vehicle (PHEV) isproposed for co-optimization to reduce fuel consumption during car following.First, the adaptive cruise control (ACC) model for energy-saving driving isestablished. Then, a control-oriented energy management strategy (EMS) modelconsidering the clutch engagement and disengagement is constructed. Finally,the co-optimization structure by integrating ACC model and EMS model is createdand is converted to the mixed integer nonlinear programming (MINLP). Theresults show that this modeling method can be applied to EMS based on the modelpredictive control (MPC) framework and verify that co-optimization can achievea 5.1$\%$ reduction in fuel consumption compared to sequential optimizationwith the guarantee of ACC performance.

Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management via Model Predictive Mixed Integer Control