Next Article in Journal
Pathways to Decarbonise the European Car Fleet: A Scenario Analysis Using the Backcasting Approach
Next Article in Special Issue
Optimizing Energy Storage Capacity in Islanded Microgrids Using Immunity-Based Multiobjective Planning
Previous Article in Journal
Internal Force Response of a Pile in an Inhomogeneous Temperature Field
Previous Article in Special Issue
Towards Efficient Energy Management of Smart Buildings Exploiting Heuristic Optimization with Real Time and Critical Peak Pricing Schemes
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2018, 11(1), 19; doi:10.3390/en11010019

Parameters Identification and Sensitive Characteristics Analysis for Lithium-Ion Batteries of Electric Vehicles

1
School of Electrical Engineering, University of Jinan, Jinan 250022, China
2
School of Control Science and Engineering, Shandong University, Jinan 250061, China
*
Author to whom correspondence should be addressed.
Received: 15 November 2017 / Revised: 15 December 2017 / Accepted: 19 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Intelligent Management and Control of Energy Storage Systems)
View Full-Text   |   Download PDF [2881 KB, uploaded 22 December 2017]   |  

Abstract

This paper mainly investigates the sensitive characteristics of lithium-ion batteries so as to provide scientific basises for simplifying the design of the state estimator that adapt to various environments. Three lithium-ion batteries are chosen as the experimental samples. The samples were tested at various temperatures (−20 C, −10 C, 0 C , 10 C , 25 C) and various current rates (0.5C, 1C, 1.5C) using a battery test bench. A physical equivalent circuit model is developed to capture the dynamic characteristics of the batteries. The experimental results show that all battery parameters are time-varying and have different sensitivity to temperature, current rate and state of charge (SOC). The sensitivity of battery to temperature, current rate and SOC increases the difficulty in battery modeling because of the change of parameters. The further simulation experiments show that the model output has a higher sensitivity to the change of ohmic resistance than that of other parameters. Based on the experimental and simulation results obtained here, it is expected that the adaptive parameter state estimator design could be simplified in the near future. View Full-Text
Keywords: sensitive characteristics; lithium-ion batteries; time-varying parameters; electric vehicles sensitive characteristics; lithium-ion batteries; time-varying parameters; electric vehicles
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).

Share & Cite This Article

MDPI and ACS Style

Zhang, Y.; Shang, Y.; Cui, N.; Zhang, C. Parameters Identification and Sensitive Characteristics Analysis for Lithium-Ion Batteries of Electric Vehicles. Energies 2018, 11, 19.

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

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