Constrained hybrid optimal model predictive control for intelligent electric vehicle adaptive cruise using energy storage management strategy

This paper presents a constrained hybrid optimal model predictive control method for the mobile energy storage system of Intelligent Electric Vehicle. A novel adaptive cruise control system is designed to optimize mobile energy storage management, active safety control, and fuel economy. A hierarchical control structure is proposed for active safety control and energy flow management. The main-loop is proposed to analyze and optimize active cruise safety control and energy management index using non-linear constrained hybrid optimal model predictive control method. The inner loop is used to chase the aim signal from the main loop using hysteresis current control method. Then, an electronic longitudinal control system is designed to avoid the collision and optimize energy management between the IEV and cruise following vehicles. At last, the simulations with typical driving conditions are built to justify the performance of the proposed controller. The results illustrate that the IEV with the designed hybrid controller can adaptively tracking the following vehicles, reduce the possibility of collision with optimal energy flow management.

Automated summary

This paper presents a constrained hybrid optimal model predictive control method for the mobile energy storage system of Intelligent Electric Vehicle (IEV). The proposed method includes an adaptive cruise control system, hierarchical control structure for active safety control and energy flow management, and an electronic longitudinal control system. Simulation results show that the IEV with the designed hybrid controller can adaptively track following vehicles and reduce the possibility of collision with optimal energy flow management.