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

Efficiency and Performance Improvement of Energy Management for Series-Type HEVs by Robust Output Predictive Control

Scheduled for presentation during the Regular Session "Vehicle energy management" (MoA3), Monday, June 16, 2025, 12:00−12:20, August

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on May 31, 2025

Abstract

In recent years, as efforts towards carbon neutrality have accelerated, HEVs have attracted attention as an interim solution. HEVs can improve fuel economy by optimally splitting the power of the engine and motor through an energy management strategy (EMS). Robust predictive control, a predictive control method that is robust to uncertainty and small computational load, was proposed for EMS and its effectiveness was verified in a split HEV model. However, the model did not take into account the extra fuel consumption at engine start-up, thus not allowing an accurate evaluation of fuel consumption. In this report, a detailed model of a series-type HEV with GT-Power is used for numerical simulation to provide a more accurate fuel consumption evaluation and to verify that the proposed method is also effective for series-type HEVs. Furthermore, a new method focusing on SOC is proposed, which reduces engine ON/OFF switching and aims to further improve efficiency and practicality.