Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 1: Cell embedding method and performance

JOURNAL OF POWER SOURCES

卷:341

Article

Raghavan, Ajay¹  Kiesel, Peter¹  Sommer, Lars Wilko¹  Schwartz, Julian¹  Lochbaum, Alexander¹  Hegyi, Alex¹  Schuh, Andreas¹  Arakaki, Kyle¹  Saha, Bhaskar¹  Ganguli, Anurag¹  Kim, Kyung Ho²  Kim, ChaeAh²  Hah, Hoe Jin²  Kim, SeokKoo²  Hwang, Gyu-Ok²  Chung, Geun-Chang²  Choi, Bokkyu²  Alamgir, Mohamed³ 

[1] Palo Alto Res Ctr, Palo Alto, CA 94304 USA

[2] LG Chem Res, Yuseong Du 305738, Daejeon, South Korea

[3] LG Chem Power, Troy, MI 48083 USA

关键词: Fiber-optic sensors;    Battery management systems;    State-ofcharge;    State-of-health;    Lithium-ion;    Electric vehicle;   

DOI  :  10.1016/j.jpowsour.2016.11.104

来源: Elsevier

【 摘 要 】

A key challenge hindering the mass adoption of Lithium-ion and other next-gen chemistries in advanced battery applications such as hybrid/electric vehicles (xEVs) has been management of their functional performance for more effective battery utilization and control over their life. Contemporary battery management systems (BMS) reliant on monitoring external parameters such as voltage and current to ensure safe battery operation with the required performance usually result in overdesign and inefficient use of capacity. More informative embedded sensors are desirable for internal cell state monitoring, which could provide accurate state-of-charge (SOC) and state-of-health (SOH) estimates and early failure indicators. Here we present a promising new embedded sensing option developed by our team for cell monitoring, fiber-optic sensors. High-performance large-format pouch cells with embedded fiber-optic sensors were fabricated. The first of this two-part paper focuses on the embedding method details and performance of these cells. The seal integrity, capacity retention, cycle life, compatibility with existing module designs, and mass-volume cost estimates indicate their suitability for xEV and other advanced battery applications. The second part of the paper focuses on the internal strain and temperature signals obtained from these sensors under various conditions and their utility for high-accuracy cell state estimation algorithms. (C) 2016 Elsevier B.V. All rights reserved.

【 授权许可】

Free