A Green Wave Traffic Strategy Design for Energy-saving Control of Intelligent Connected Vehicle Using MPC Framework

In this paper, an energy-saving driving method of automatic transmission fuel vehicle under multi-traffic lights is proposed. For the multi-traffic light section in the city, a traffic light green wave selection method is first transformed into a single traffic light traffic problem, the corresponding speed constraint is calculated, and the problem is transformed into a cruise problem with speed constraint. Taking vehicle energy consumption and engine torque into account, the model predictive control (MPC) is used to solve the problem, and the sub-optimal solution was obtained. The green wave selection algorithm can achieve 96% of the energy saving effect of the global optimization algorithm. Compared with the global optimization solution time, this method will greatly reduce the solution time and complete the purpose of real-time optimization.