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Lithium-Ion Battery Health Estimation Using an...
Journal article

Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles

Abstract

To ensure reliable operation of electrical systems, batteries require robust battery monitoring systems (BMSs). A BMS’s main task is to accurately estimate a battery’s available power, referred to as the state of charge (SOC). Unfortunately, the SOC cannot be measured directly due to its structure, and so must be estimated using indirect measurements. In addition, the methods used to estimate SOC are highly dependent on the battery’s available …

Authors

Bustos R; Gadsden SA; Al-Shabi M; Mahmud S

Journal

Applied Sciences, Vol. 13, No. 2,

Publisher

MDPI

DOI

10.3390/app13021132

ISSN

2076-3417

Labels

Sustainable Development Goals (SDG)