TY - JOUR
T1 - Embedded Distributed Temperature Sensing Enabled Multi-State Joint Observation of Smart Lithium-Ion Battery
AU - Wei, Zhongbao
AU - Hu, Jian
AU - He, Hongwen
AU - Yu, Yifei
AU - Marco, James
N1 - Publisher Copyright:
IEEE
PY - 2022
Y1 - 2022
N2 - Accurate monitoring of the internal statuses are highly valuable for the management of lithium-ion battery (LIB). This paper proposes a thermal model-based method for multi-state joint observation, enabled by a novel smart battery design with embedded and distributed temperature sensor. In particular, a novel smart battery is designed by implanting the distributed fiber optical sensor (DFOS) internally and externally. This promises a real-time distributed measurement of LIB internal and surface temperature with a high space resolution. Following this endeavor, a low-order joint observer is proposed to co-estimate the thermal parameters, heat generation rate, state of charge, and maximum capacity. Experimental results disclose that the smart battery has space-resolved self-monitoring capability with high reproducibility. With the new sensing data, the heat generation rate, state of charge, and maximum capacity of LIB can be observed precisely in real time. The proposed method validates to outperform the commonly-used electrical model-based method regarding the accuracy and the robustness to battery aging.
AB - Accurate monitoring of the internal statuses are highly valuable for the management of lithium-ion battery (LIB). This paper proposes a thermal model-based method for multi-state joint observation, enabled by a novel smart battery design with embedded and distributed temperature sensor. In particular, a novel smart battery is designed by implanting the distributed fiber optical sensor (DFOS) internally and externally. This promises a real-time distributed measurement of LIB internal and surface temperature with a high space resolution. Following this endeavor, a low-order joint observer is proposed to co-estimate the thermal parameters, heat generation rate, state of charge, and maximum capacity. Experimental results disclose that the smart battery has space-resolved self-monitoring capability with high reproducibility. With the new sensing data, the heat generation rate, state of charge, and maximum capacity of LIB can be observed precisely in real time. The proposed method validates to outperform the commonly-used electrical model-based method regarding the accuracy and the robustness to battery aging.
KW - Batteries
KW - Embedded sensor
KW - Heating systems
KW - Monitoring
KW - Optical fiber sensors
KW - Optical fibers
KW - Temperature measurement
KW - Temperature sensors
KW - distributed temperature measurement
KW - heat generation rate
KW - optical fiber sensor
KW - smart battery
UR - http://www.scopus.com/inward/record.url?scp=85124214865&partnerID=8YFLogxK
U2 - 10.1109/TIE.2022.3146503
DO - 10.1109/TIE.2022.3146503
M3 - Article
AN - SCOPUS:85124214865
SN - 0278-0046
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
ER -