This paper proposes a real-time look-ahead velocity planning and torque distribution ratio prediction for parallel hybrid electric vehicles(HEVs) with consideration of traffic conditions in minimization of fuel and electricity consumptions. Firstly, mathematical models that could depict vehicle dynamics and surrounding look-ahead traffic dynamics for vehicle following scenario are built. Then, a receding horizon optimization problem that trades off fuel and electricity consumptions with dynamics model constraints is formulated. The proposed nonlinear model predictive control optimal problem is decoupled by multiple shooting and solved by a sequential quadratic programming approach to obtain numerical solutions. Simulations are conducted in MATLAB/Simulink platform with different emulated real-world traffic scenarios. Simulation results demonstrate the effectiveness of proposed control performance.
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