Next Article in Journal
Measurements of the Aerodynamic Normal Forces on a 12-kW Straight-Bladed Vertical Axis Wind Turbine
Previous Article in Journal
Domestic Hot Water Production with Ground Source Heat Pump in Apartment Buildings
Article Menu

Export Article

Open AccessArticle
Energies 2015, 8(8), 8467-8481; doi:10.3390/en8088467

On-Board State-of-Health Estimation at a Wide Ambient Temperature Range in Lithium-Ion Batteries

School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Haolin Tang
Received: 18 June 2015 / Revised: 16 July 2015 / Accepted: 3 August 2015 / Published: 11 August 2015
View Full-Text   |   Download PDF [713 KB, uploaded 11 August 2015]   |  

Abstract

A state-of-health (SOH) estimation method for electric vehicles (EVs) is presented with three main advantages: (1) it provides joint estimation of cell’s aging states in terms of power and energy (i.e., SOHP and SOHE)—because the determination of SOHP and SOHE can be reduced to the estimation of the ohmic resistance increase and capacity loss, respectively, the ohmic resistance at nominal temperature will be taken as a health indicator, and the capacity loss is estimated based on a mechanistic model that is developed to describe the correlation between resistance increase and capacity loss; (2) it has wide applicability to various ambient temperatures—to eliminate the effects of temperature on the resistance, another mechanistic model about the resistance against temperature is presented, which can normalize the resistance at various temperatures to its standard value at the nominal temperature; and (3) it needs low computational efforts for on-board application—based on a linear equation of cell’s dynamic behaviors, the recursive least-squares (RLS) algorithm is used for the resistance estimation. Based on the designed performance and validation experiments, respectively, the coefficients of the models are determined and the accuracy of the proposed method is verified. The results at different aging states and temperatures show good accuracy and reliability. View Full-Text
Keywords: lithium-ion batteries; state-of-health (SOH); wide temperature range; resistance increase; capacity loss lithium-ion batteries; state-of-health (SOH); wide temperature range; resistance increase; capacity loss
Figures

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wang, T.; Pei, L.; Wang, T.; Lu, R.; Zhu, C. On-Board State-of-Health Estimation at a Wide Ambient Temperature Range in Lithium-Ion Batteries. Energies 2015, 8, 8467-8481.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

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