Work

Study on coordinated control strategy for auxiliary power units in range-extended electric vehicles

Year: 2024

Type: article

Abstract: This paper presents a novel fuzzy adaptive PI coordination control strategy for the Auxiliary Power Unit (APU) in range-extended electric vehicles (EREVs) to enhance dynamic and steady-state performance during power tracking. An improved genetic algorithm is utilized to optimize the PI controller's parameters, focusing on faster convergence. A fuzzy reasoning algorithm is then employed to dynamically adjust the APU's control parameters, achieving adaptive control during power tracking. Experimental verification is conducted through bench tests, where dynamic response characteristics and power change rates of the APU are evaluated. Comparative simulations with traditional control methods demonstrate that the proposed strategy significantly improves the APU's dynamic response, offering better real-time adaptability and steady-state accuracy, effectively addressing challenges posed by power variations.

Source: Energy Reports

DOI: 10.1016/j.egyr.2024.12.068

Authors: Ye Yang, Haoqing Sun, Shan Jiang, Jingyi Tian, Qiang Ai

Institutions: Beijing Institute of Technology, Tianjin University of Technology and Education, China Automotive Technology and Research Center

Language: English

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,700