The development of a green control unit for eco-driving of electric vehicles
Journal
20th ITS World Congress Tokyo 2013
Date Issued
2013
Author(s)
Abstract
This paper presents the development of a green control unit (GCU) for eco-driving of electric vehicles (EVs) through the use of information and communication technology (ICT). The GCU is able to provide the most energy-efficient driving strategy for the EV driver based on the road information obtained via wireless communication, EV models and the measurements from on-board sensors and the EV propulsion system. The Model Predictive Control (MPC) technique is adopted for developing the GCU algorithms. Two different energy cost functions and different assumptions for the driver model and the availability of road information are used to develop five different MPC-based GCU algorithms. Computer simulations were performed to compare the performance of the five EV driving strategies against the other two scenarios which simply follow the upper and lower speed limits, respectively. Simulation results show that the MPC-based GCU algorithm using the road information and a good driver model outperforms the other four schemes of GCU algorithms.
Subjects
Eco-Driving; Electric Vehicles; Information and Communication Technology; Model Predictive Control
SDGs
Other Subjects
Algorithms; Cost functions; Electric vehicles; Energy efficiency; Intelligent systems; Model predictive control; Predictive control systems; Propulsion; Roads and streets; Traffic control; Transportation; Vehicles; Wireless telecommunication systems; Driving strategy; Eco-driving; Electric Vehicles (EVs); Energy efficient; Information and Communication Technologies; On-board sensors; Propulsion system; Wireless communications; Information use
Publisher
Intelligent Transportation Society of America
Type
conference paper