1. A comprehensive review of the mechanism, inducement, evolution, and simulation experiments of internal short circuit in lithium-ion batteries is provided.
2. Existing methods for internal short circuit detection are classified and discussed, with proposed methods for four special cases.
3. Key technologies of internal short circuit are prospected, with a focus on the development of big data and artificial intelligence technology to improve accuracy and timeliness of detection.
The article provides a comprehensive review on the mechanism and evolutionary process of internal short circuit (ISC) in lithium-ion batteries (LIBs). The article is well-structured and organized, providing an overview of ISC types and inducing mechanisms under various inducements as well as eleven existing ISC substitute experimental methods. Additionally, three coupling models of electric-thermal-ISC models are introduced to simulate the characteristics of ISC. Furthermore, existing ISC detection methods are reviewed in detail and divided into six categories. Moreover, proposed methods for ISC detection under four special conditions are presented. Lastly, existing ISC prevention methods are reviewed and key technologies of ISC are prospected.
The article appears to be reliable overall; however there may be some potential biases due to its focus on LIBs as the primary source for EVs power battery applications without exploring other alternatives such as fuel cell vehicles or hybrid EVs which could provide different perspectives on safety concerns related to EV power batteries. Additionally, while the article does provide an overview of existing ISC prevention methods it does not explore any potential risks associated with these methods or their effectiveness in preventing safety failures such as thermal runaway which could be further explored in future research.