Work

User-Demand-Oriented Healthy Charging Control Strategy for EVs Based on Football Team Training Algorithm

Year: 2025

Type: article

Abstract: With the rapid development of the electric vehicle (EV) market, effective charging control is essential for enhancing user experience and preserving battery health. Across various scenarios, this work proposes a user-demand-oriented healthy charging control strategy that balances charging efficiency and battery lifespan using the football team training algorithm (FTTA). Firstly, an enhanced hybrid stacking–boosting ensemble (EHSBE) model is designed to predict user charging duration through different feature selections and a hybrid framework. Secondly, a healthy charging control strategy based on the FTTA is developed. This strategy addresses a multi-objective optimization problem, considering two charging objectives: completing the charging task and reducing energy loss, as well as three safety-related constraints. The algorithm achieves a healthy strategy through interaction and iterative refinement among potential solutions. Simulation and experimental results show that the proposed strategy significantly reduces energy loss, generating only 5.8% and 24% of the energy loss generated by the fast charging approach under two different durations. With user expectations and maintenance of battery health, the charging process is optimized so that battery life is extended by 25.7% and user demand is satisfied.

Source: Batteries

DOI: 10.3390/batteries11090344

Authors: Haoyi Liu, Lianghui Huang, Quan Ouyang, Yujia Li, Yong Wan

Institutions: Nanjing University of Aeronautics and Astronautics, Zhejiang University of Science and Technology

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Good health and well-being

Open Access status: gold

Estimated APC paid: $3,258