Energy-efficient driving scheduling for heterogeneous electric vehicles with consideration of overtaking

Abstract

Applying individual eco-driving methods within a group of electric vehicles (EVs) is usually restricted by a preceding vehicle because the optimal velocity is different by type of EV. Driving with the same velocity for different types of vehicles is not a fundamental solution because of inefficiency. Overtaking a preceding vehicle allows enhancement of the driving efficiency, though it should be used carefully because energy consumption by the overtaking depends greatly on given conditions: time constraint for overtaking, the distance between intersections, vehicle type, and overtaking scheme. This paper introduces a system-level framework for vehicle overtaking velocity planning and scheduling to maximize the total driving efficiency of all vehicles. The framework starts with an accurate EV powertrain modeling of various vehicle types and derives the optimal velocity and acceleration for overtaking. Simulation results show the energy-efficient velocity planning for overtaking that reduces a driving cost function related to energy and delay. The proposed overtaking framework achieves 15% driving cost savings compared with the conventional group driving.