Development of adaptive cruising strategy of extended range electric vehicle based on driving behavior

Abstract

In order to develop an efficient and humanized adaptive cruise control (ACC) system for the extended range electric vehicle (EREV), a driving behavior based novel adaptive cruising strategy is developed using ACC system and EREV co-simulation model. The virtual driving platform is constructed and virtual driving experiments for various drivers are performed to obtain the core characteristics of different driver types. The constant time headway (CTH) safety distance model based on core characteristics and car-following model based on model predictive control (MPC) algorithm are developed to meet expectations of different driver types. An adaptive cruising strategy of ACC system in EREV is developed. Specially, the vehicle drive cost is investigated while the battery life and equivalent fuel consumption are considered. It is seen from the simulation results that the ACC system can meet the requirement of different driver types. Compared with the other three control strategies, the proposed adaptive cruising strategy can effectively reduce the vehicle drive cost.