Predictive Models of Li-Ion Battery Lifetime

Research output: Contribution to conference › Paper › peer-review

3 Scopus Citations

Original language	American English
Pages	393-403
Number of pages	11
State	Published - 2015
Event	Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2015 - Detroit, United States Duration: 15 Jun 2015 → 17 Jun 2015

Conference	Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2015
Country/Territory	United States
City	Detroit
Period	15/06/15 → 17/06/15

NLR Publication Number

@conference{a50ac25d382246bbad5f28475f5783a1,

title = "Predictive Models of Li-Ion Battery Lifetime",

keywords = "Li-ion battery, predictive models",

author = "Kandler Smith and Eric Wood and Shriram Santhanagopalan and Gi-Heon Kim and Ying Shi and Ahmad Pesaran and Gi-Heon Kim",

year = "2015",

language = "American English",

pages = "393--403",

note = "Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",

}

TY - CONF

T1 - Predictive Models of Li-Ion Battery Lifetime

AU - Smith, Kandler

AU - Wood, Eric

AU - Santhanagopalan, Shriram

AU - Kim, Gi-Heon

AU - Shi, Ying

AU - Pesaran, Ahmad

AU - Kim, Gi-Heon

PY - 2015

Y1 - 2015

KW - Li-ion battery

KW - predictive models

UR - https://www.scopus.com/pages/publications/84960961330

M3 - Paper

AN - SCOPUS:84960961330

SP - 393

EP - 403

T2 - Large Lithium Ion Battery Technology and Application Symposium, LLIBTA 2015

Y2 - 15 June 2015 through 17 June 2015

ER -