Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics

Dong Zhang, Satadru Dey, Hector E. Perez, Scott J. Moura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Scopus citations


Longevity remains one of the key issues for Lithium-ion (Li-ion) battery technology. On-board Intelligent Battery Management Systems (BMS) implement health-conscious control algorithms in order to increase battery lifetime while maintaining the performance. For such algorithms, the information on Remaining Useful Life (RUL) of the battery is crucial for optimizing the battery performance and ensuring minimal degradation. However, accurate prediction of RUL remains one of the most challenging tasks until this date. In this paper, we present an online RUL estimation scheme for Li-ion batteries, which is designed from a thermal perspective. The key novelty lies in (i) leveraging thermal dynamics to predict RUL and, (ii) developing a hierarchical estimation algorithm with provable convergence properties. The algorithm consists of three stages working in cascade. The first two stages estimate the core temperature, State-of-Charge (SOC) and battery capacity based on a combination of thermal and Coulombic SOC model. The third stage receives this capacity information and in turn identifies a capacity fade aging model. Finally, we estimate the RUL by predicting the battery capacity fade over the cycles utilizing the identified aging model. A combination of sliding mode observers and nonlinear least-squares algorithm is utilized for designing the estimators. Simulation results illustrate the performance of the proposed RUL estimation scheme.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509059928
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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