Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries

Battery manufacturers and device companies often test batteries at high temperature to accelerate the degradation process. The data collected from these accelerated tests are then used to determine battery performance and reliability over specified nominal operating temperatures. In many cases, comp...

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Main Authors: Weiping Diao, Yinjiao Xing, Saurabh Saxena, Michael Pecht
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/8/10/1786
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author Weiping Diao
Yinjiao Xing
Saurabh Saxena
Michael Pecht
author_facet Weiping Diao
Yinjiao Xing
Saurabh Saxena
Michael Pecht
author_sort Weiping Diao
collection DOAJ
description Battery manufacturers and device companies often test batteries at high temperature to accelerate the degradation process. The data collected from these accelerated tests are then used to determine battery performance and reliability over specified nominal operating temperatures. In many cases, companies assume an Arrhenius model, or prescribe a decade rule to conduct the data analysis. This paper presents the flaws in accelerated temperature testing of batteries using the Arrhenius model and the decade rule, with the emphasis on lithium-ion batteries. Experimental case studies demonstrate the inaccuracy of the Arrhenius model. Alternative methods based on reliability science are then provided.
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spelling doaj.art-6f44d6cf027d423092d319a6de8226ea2022-12-21T19:40:30ZengMDPI AGApplied Sciences2076-34172018-10-01810178610.3390/app8101786app8101786Evaluation of Present Accelerated Temperature Testing and Modeling of BatteriesWeiping Diao0Yinjiao Xing1Saurabh Saxena2Michael Pecht3Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USACenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USACenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USACenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USABattery manufacturers and device companies often test batteries at high temperature to accelerate the degradation process. The data collected from these accelerated tests are then used to determine battery performance and reliability over specified nominal operating temperatures. In many cases, companies assume an Arrhenius model, or prescribe a decade rule to conduct the data analysis. This paper presents the flaws in accelerated temperature testing of batteries using the Arrhenius model and the decade rule, with the emphasis on lithium-ion batteries. Experimental case studies demonstrate the inaccuracy of the Arrhenius model. Alternative methods based on reliability science are then provided.http://www.mdpi.com/2076-3417/8/10/1786Lithium-ion batteriesaccelerated temperature testingArrhenius modelacceleration factor
spellingShingle Weiping Diao
Yinjiao Xing
Saurabh Saxena
Michael Pecht
Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries
Applied Sciences
Lithium-ion batteries
accelerated temperature testing
Arrhenius model
acceleration factor
title Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries
title_full Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries
title_fullStr Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries
title_full_unstemmed Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries
title_short Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries
title_sort evaluation of present accelerated temperature testing and modeling of batteries
topic Lithium-ion batteries
accelerated temperature testing
Arrhenius model
acceleration factor
url http://www.mdpi.com/2076-3417/8/10/1786
work_keys_str_mv AT weipingdiao evaluationofpresentacceleratedtemperaturetestingandmodelingofbatteries
AT yinjiaoxing evaluationofpresentacceleratedtemperaturetestingandmodelingofbatteries
AT saurabhsaxena evaluationofpresentacceleratedtemperaturetestingandmodelingofbatteries
AT michaelpecht evaluationofpresentacceleratedtemperaturetestingandmodelingofbatteries