A Comprehensive Review of Lithium-ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems

Abstract

Highly nonlinear characteristics of lithium-ion batteries (LIBs) are significantly influenced by the external and internal temperature of the LIB cell. Moreover, cell temperature beyond the manufacturer’s specified safe operating limit could lead to thermal runaway and even fire hazards and safety concerns to operating personnel. Therefore, accurate information of cell internal and surface temperature of LIB is highly crucial for effective thermal management and proper operation of a battery management system (BMS). Accurate temperature information is also essential to BMS for the accurate estimation of various important states of LIB such as state of charge, state of health and so on. High capacity LIB pack, used in electric vehicles and grid-tied stationary energy storage system essentially consists of thousands of individual LIB cells. Therefore, installing a physical sensor at each cell especially at the cell core is not practically feasible from the solution cost, space and weight point of view. A solution is to develop a suitable estimation strategy which led scholars to propose different temperature estimation schemes aiming to establish a balance among accuracy, adaptability, modelling complexity and computational cost. This article presented an exhaustive review of these estimation strategies covering recent developments, current issues, major challenges, and future research recommendations. The prime intention is to provide a detailed guideline to the researchers and industries towards developing a highly accurate, intelligent, adaptive, easy to implement and compute efficient online temperature estimation strategy applicable to health-conscious fast charging and smart onboard BMS.

Design and Development of IOT based Telematics System for Electric vehicle

“…As it was commented in the Introduction, the temperature of the LiB is critical aspect that needs to be tracked. In fact, operation of LiBs outside the safe operating temperature directly affects their cycle life, efficiency, reliability and safety [12]. In this regard, the temperature is very stable during the observed period; it varies between 28 °C and 31 °C (fig.…”

Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: A review

“…Each different type of method has its advantages and limitations 53–57 . Therefore, a summary of all the prominent techniques would be very helpful to researchers and developers serving as a baseline for further research and as a guideline for selecting appropriate techniques suitable for a specific requirement 58–62 . However, such a summary with detailed discussion on current progress and explanation of the principles, applications, challenges, and future research scopes has not yet been presented in the literature.…”

“…[53][54][55][56][57] Therefore, a summary of all the prominent techniques would be very helpful to researchers and developers serving as a baseline for further research and as a guideline for selecting appropriate techniques suitable for a specific requirement. [58][59][60][61][62] However, such a summary with detailed discussion on current progress and explanation of the principles, applications, challenges, and future research scopes has not yet been presented in the literature. Therefore, this article covered the research gap by conducting a comprehensive review of the state-of-theart temperature prediction strategies using EIS reported in the literature so far.…”

Evaluation of the orientation impact on thermal behavior of cylindrical Li-ion batteries in different cycling conditions using fiber Bragg grating sensors

“…LiBs are monitored by a battery monitoring system (BMS), however, currently, this system can only measure accessible external parameters such as voltage, current and external temperature. As the control of internal parameters is critical to the LiB's safety, the BMS can make approximations and predictions based on theoretical models, yet it cannot sensor the temperature inside the battery [3]. This fact has led to several investigations regarding temperature sensing within the battery cell [4,5].…”