Work

Capacity Loss Estimation for Li-ion Batteries Based on a Semi-empirical Model

Year: 2021

Type: article

Abstract: Understanding battery capacity degradation is instrumental for designing modern electric vehicles. In this paper, a Semi-Empirical Model for predicting the CapacityLoss of Lithium-ion batteries during Cycling and Calendar Aging is developed. In order to predict the Capacity Loss with a high accuracy, battery operation datafrom different test conditions and different Lithium-ion batteries chemistries were obtained from literature for parameter optimization (fitting). The obtained modelswere then compared to experimental data for validation. Our results show that the average error between the estimated Capacity Loss and measured Capacity Loss isless than 1.5% during Cycling Aging, and less than 2% during Calendar Aging. An electric mining dumper, with simulated duty cycle data, is considered as an application example.

Source: Anwendungen und Konzepte der Wirtschaftsinformatik

DOI: 10.26034/lu.akwi.2021.3317

Authors: Mohammed Rabah, Eero Immonen, Sajad Shahsavari, Mohammad-Hashem Haghbayan, Kirill Murashko, Paula Immonen

Institutions: University of Turku, Turku University of Applied Sciences, University of Eastern Finland, Lappeenranta-Lahti University of Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W4312759254

FWCI: 0.08

Cites: 23

Cited by: 2

Related to: 10