A Control Algorithm of an Idle Stop and Go System With Traffic Conditions for Hybrid Electric Vehicles

• Published in: IEEE transactions on intelligent transportation systems 2022-09, Vol.23 (9), p.14427-14438
• Main Authors: Sim, Kyuhyun, Hwang, Sung-Ho
• Format: Article
• Language: English
• Subjects: Algorithms; Batteries; Control theory; driver-in-the-loop simulation; Driving; Driving conditions; Electric motors; Energy consumption; Fuel consumption; Fuels; hybrid electric vehicle; Hybrid electric vehicles; Hybrid systems; Idle stop and go system; Idling; Internal combustion engines; Prediction algorithms; Predictive models; stop prediction; Traffic control; Traffic flow; traffic flow model; Traffic information; Traffic models; traffic signal; Traffic signals; Transportation systems
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2021.3128537

This paper proposes a control algorithm for IGS (Idle Stop and Go) systems and a stop prediction algorithm. A new ISG system has been introduced to reduce fuel consumption by improving the conventional ISG system for hybrid electric vehicles (HEVs), including plug-in hybrid electric vehicles (PHEVs). When the HEVs stop or pass in front of a traffic light, the control algorithm determines when to turn off the internal combustion engine (ICE) while comparing the driving energy consumption. A stop prediction algorithm was proposed to determine whether a vehicle will stop at traffic lights. Traffic information and driving test results were obtained using a driver-in-the-loop simulator, and the stop prediction algorithm was verified through these results. The proposed ISG with the stop prediction function can reduce fuel consumption. With the developed traffic flow model, the effectiveness of the proposed ISG was evaluated in terms of the transportation system.