ENERGY MANAGEMENT STRATEGIES OF HYBRID ELECTRIC VEHICLE PLATOON UNDER ADAPTIVE CRUISE CONTROL

Abstract

Assessing the possibility of innovative driver support systems calls for developing specialized control formulas for regulating the longitudinal speed of computerized vehicles gradually. In this paper, a multi objective off-line optimal control method for preparing the speed of the following vehicle in Adaptive Cruise Control (ACC) driving is proposed. Slowdowns prices have substantial influence on the fuel economy of crossbreed electrical vehicle. Provided the vehicle qualities and actual/measured operating problems, along with upcoming path details, ideal rate trajectories can be built that make best use of energy recovery. To sustain the chauffeur in tracking of the power optimal rate trajectory, automated cruise control is an important chauffeur aid. In practice, perfect tracking of the ideal velocity trajectory is often not feasible. The proposed control method really offers an option for an optimal control problem with multi objectives in regards to string stability of vehicle army and energy intake minimization of the individual complying with automobile. The string security and also the real-time optimization efficiency of the cooperative control system are verified by simulations relative to several running situations. To create a fuzzy logic based power monitoring strategy for crossbreed electrical vehicle