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Conclusions State estimation is one of the most basic functions of BMS. Accurate state estimation can prolong the battery life and improve battery safety. This paper comprehensively reviews the research status, technical challenges, and development direction of typical battery state estimation (SOC, SOH, SOE, and SOP).
Finally, the development trends of state estimation are prospected. Advanced technologies such as artificial intelligence and cloud networking have further reshaped battery state estimation, bringing new methods to estimate the state of the battery under complex and extreme operating conditions.
By adopting multi-dimensional, multi-level, and multi-scale signal information mining and state estimation representation, combined with the characteristics of discontinuous and continuous information, the combined optimal joint estimation method can solve the problem of battery state estimation accuracy under complex and extreme working.
The technology for battery state estimation and fault diagnosis has gained significant attention and become a focal point of current research activities [8, 9]. However, directly measuring the state of LIBs remains a challenge.
The accurate co-estimation of battery states under complex and extreme working conditions is challenging research, and intelligent batteries and advanced technologies are reshaping the battery state estimation methods.
Author to whom correspondence should be addressed. The state estimation technology of lithium-ion batteries is one of the core functions elements of the battery management system (BMS), and it is an academic hotspot related to the functionality and safety of the battery for electric vehicles.
Conventional fault diagnosis methods are tough to detect early faults when the abnormal characteristics of the battery are not obvious. The main purpose of this manuscript is …
State estimation is one of the most basic functions of BMS. Accurate state estimation can prolong the battery life and improve battery safety. This paper comprehensively reviews the research status, technical …
For external battery fault diagnosis, model-based methods are often implemented to detect sensor faults and cooling system faults. In some earlier works, Marcicki et al. [
As a brief conclusion, the major contributions and advantages compared with existing methods are as follows: (1) The proposed method adopts the idea of unsupervised …
With the rapid evolution of electric vehicles (EVs), assuring the security and dependability of battery packs has acquired paramount significance. Internal short circuit (ISC) …
For external battery fault diagnosis, model-based methods are often implemented to detect sensor faults and cooling system faults. In some earlier works, Marcicki et al. [
A new battery-status detection method that attains high accuracy by combining SOC v and SOC i in SOC detection and tunes battery-characteristic parameter R when the …
In this article, the three main methods for evaluating and predicting the SOH of lithium-ion batteries are systematized: model based, data driven and fusion technology methods. Future …
This review explores various non-destructive methods for evaluating lithium batteries, i.e., electrochemical impedance spectroscopy, infrared thermography, X-ray …
A reasonable fault diagnosis method can evaluate the health status of the battery based on external characteristics during battery operation. This has a positive effect on …
Based on the cell swelling and gas release in battery failure, the dissertation presents fault detection methods using expansion force measurements to capture the …
State estimation is one of the most basic functions of BMS. Accurate state estimation can prolong the battery life and improve battery safety. This paper comprehensively …
DOI: 10.1016/J.JPOWSOUR.2020.228760 Corpus ID: 224937043; Development of status detection method of lithium-ion rechargeable battery for hybrid electric vehicles …
The results show that the method can detect defected batteries 13 days ahead the thermal runaway while achieve the precision of 99.2%. By the three novelties and training …
This review explores various non-destructive methods for evaluating lithium batteries, i.e., electrochemical impedance spectroscopy, infrared thermography, X-ray computed tomography and ultrasonic testing, …
Military Standard Gbbz 24974-2012 Is the Standard for Military Battery Detection. the Design of Military Batteries, specific Requirements and Specifications Are Put …
Download Citation | Development of status detection method of lithium-ion rechargeable battery for hybrid electric vehicles | In order to maximize the performance of …
This study provides a comprehensive review of the current applications and technical challenges of ultrasonic technology in lithium-ion batteries. It begins by revisiting the …