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Traditional FDM falls far short of the expected results and cannot meet the requirements. Therefore, the fault diagnosis model based on WOA-LSTM algorithm proposed in the study can improve the safety of the power battery of new energy battery vehicles and reduce the probability of safety accidents during the driving process of new energy vehicles.
In the comparison of the safety performance and maintenance cost of the power battery after using three models, this model could improve the safety performance of the battery by 90.1% and reduce the maintenance cost of the battery to the original 20.3%.
In the experiment of safety management of power batteries, WOA-LSTM could improve the safety performance and reduce the maintenance cost of batteries. Overall, WOA-LSTM could improve the accuracy of power battery fault diagnosis, thereby enhancing battery safety.
And the probability of safety accidents related to other batteries is only 0.1%, which can meet the expected requirements. After EMD diagnosis, the power battery only meets the expected requirements for over discharge safety and the probability of battery self ignition accidents.
Overall, WOA-LSTM could improve the accuracy of power battery fault diagnosis, thereby enhancing battery safety. However, this study only conducted experiments on one type of power battery, and whether this model is applicable to other types of power batteries still needs to be examined.
EMD could only improve the safety performance of batteries by 30.4%, and reduce maintenance costs to only 50.4% of the original. The performance of traditional models was lower. This result coincided with the research of Yucai on prediction models based on LSTM algorithm (Yucai et al. 2023).
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1. Power on/off button: Power on, wake up or shut off the battery module. If battery module is in sleep-mode, press and hold the button for approximately 3~6 seconds to wake up the module and the all indicators will light up in sequent for 0.5 seconds. If battery module is working, press and hold the button for approximately 3~6 seconds to ...
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