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...
Main Authors: | , , , |
---|---|
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 |
_version_ | 1818963145980379136 |
---|---|
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. |
first_indexed | 2024-12-20T12:40:34Z |
format | Article |
id | doaj.art-6f44d6cf027d423092d319a6de8226ea |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-12-20T12:40:34Z |
publishDate | 2018-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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 |