Sakamoto, Kyohei (Kumamoto University), Nozaki, Ryo (Kumamoto University), Mizumoto, Ikuro (Kumamoto Univ.)

Practical and Fuel-Efficient Energy Management with Robust Predictive Control for HEV

Scheduled for presentation during the Invited session "Modeling and Control of Advanced Powertrain System" (ThA4), Thursday, October 31, 2024, 11:30−11:50, Room T4

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Abstract

HEV is a vehicle driven by two power sources, an engine and a motor, and fuel economy can be improved through an optimal energy management strategy. Robust predictive control is a simple design method for energy management of HEV and is considered to be a fuel-efficient method. In this paper, we propose a new robust predictive control method that not only improves fuel economy, but also reduces the ON-OFF switching of the engine and uses electrical energy of the motor more efficiently. This method is more realistic, practical, and efficient. We also verify that the proposed method improves fuel efficiency compared to conventional robust predictive control methods through numerical simulations.