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Embedded Fiber Optic Sensing for Accurate State Estimation in Advanced Battery Management Systems

Published online by Cambridge University Press:  10 June 2014

Lars Wilko Sommer,
Ajay Raghavan,
Peter Kiesel,
Bhaskar Saha,
Tobias Staudt,
Alexander Lochbaum,
Anurag Ganguli,
Chang-Jun Bae and
Mohamed Alamgir
Lars Wilko Sommer
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Ajay Raghavan
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Peter Kiesel
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Bhaskar Saha
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Tobias Staudt
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Alexander Lochbaum
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Anurag Ganguli
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Chang-Jun Bae
Affiliation:
Palo Alto Research Center (PARC, a Xerox Company), Palo Alto, CA 94304, U.S.A.
Mohamed Alamgir
Affiliation:
LG Chem Power, Troy, MI 48083, U.S.A.
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Abstract

The problems of using performance parameters such as voltage, current and temperature measured with electrical sensors in today’s battery management systems (BMS) are well known. These parameters can be weakly informative about cell state, particularly as cells age, and contribute to over-conservative utilization and oversizing of a battery pack. Fiber optic (FO) sensors can offer an interesting alternative to conventional electrical sensors, with several advantages such as high selective sensitivity to various parameters, light weight, robustness to EMI, and multiplexing capabilities. In this study, a particular type of FO sensors, fiber Bragg grating (FBG) sensors were externally attached to lithium ion pouch cells for monitoring additional informative cell parameter such as strain and temperature. Multiple charge and discharge cycle were performed to examine the qualification of these signals for cell state estimation in BMS. In comparison to corresponding measurements using conventional electrical sensors, the FBG signals showed very promising results for utilization in effective BMS.

Keywords

energy storagesensoroptical

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References

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