Work

Battery aging estimation algorithm with active balancing control in battery system

Year: 2024

Type: article

Abstract: This article presents an open-circuit voltage differential comparison algorithm (OCV-DCA) for battery aging online estimation with active balancing control. In this method, by utilizing only a portion of battery discharging/charging data, the parameters of equivalent circuit model are calculated and the open-circuit voltage (OCV) is estimated based on the model. Then, an accurate estimation of the battery remaining capacity is achieved by contrasting the predicted OCV with the reference OCV. The estimated capacity is then integrated into the balancing controller to refine the state-of-charge (SOC) calculation. As a result, the battery SOC balancing shall be more accurate as it takes into account the impact of battery health, which is often overlooked in traditional balancing methods. With the presented OCV-DCA algorithm and battery balancing controller, energy is drawn at a higher rate from the less degraded (better health) cell and vice versa, such that all cells reach the end of discharging/charging operation at the same time. The results of the presented method are validated from laboratory experimental setup. The findings highlight the importance of integrating battery aging into system optimization and control method, to enhance both performance and longevity in real-world applications.

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2024.115055

Authors: Chunsheng Wang, Mengke Cao, Yuan Cao

Institution: Central South University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $3,030