Next Article in Journal
Electricity Self-Sufficient Community Clustering for Energy Resilience
Next Article in Special Issue
Risk Assessment of Distribution Networks Considering the Charging-Discharging Behaviors of Electric Vehicles
Previous Article in Journal
Thermoelectric Generators on Satellites—An Approach for Waste Heat Recovery in Space
Previous Article in Special Issue
Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Energies 2016, 9(7), 539;

Novel Parametric Circuit Modeling for Li-Ion Batteries

Collaborative Innovation Center for Electric Vehicles in Beijing, National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USA
Author to whom correspondence should be addressed.
Academic Editor: Haolin Tang
Received: 31 May 2016 / Revised: 24 June 2016 / Accepted: 4 July 2016 / Published: 14 July 2016
Full-Text   |   PDF [3200 KB, uploaded 14 July 2016]   |  


Because of their simplicity and dynamic response, current pulse series are often used to extract parameters for equivalent electrical circuit modeling of Li-ion batteries. These models are then applied for performance simulation, state estimation, and thermal analysis in electric vehicles. However, these methods have two problems: The assumption of linear dependence of the matrix columns and negative parameters estimated from discrete-time equations and least-squares methods. In this paper, continuous-time equations are exploited to construct a linearly independent data matrix and parameterize the circuit model by the combination of non-negative least squares and genetic algorithm, which constrains the model parameters to be positive. Trigonometric functions are then developed to fit the parameter curves. The developed model parameterization methodology was applied and assessed by a standard driving cycle. View Full-Text
Keywords: Li-ion battery; model parameterization; equivalent electrical circuit; non-negative least squares Li-ion battery; model parameterization; equivalent electrical circuit; non-negative least squares

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Cheng, X.; Yao, L.; Xing, Y.; Pecht, M. Novel Parametric Circuit Modeling for Li-Ion Batteries. Energies 2016, 9, 539.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top