An Algorithm for Identifying Abnormal Voltage Cells Based on the Probability Catastrophe Rule
A technology of abnormal voltage and identification algorithm, applied in the field of identification algorithm of abnormal voltage monomer, which can solve the problems of occupation, low effective utilization of battery data, and vehicle safety accidents.
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Embodiment 1
[0037] like figure 1 As shown, an identification algorithm for abnormal voltage monomers based on the probability mutation rule, including:
[0038] In the data acquisition step, the voltage data of each battery cell is acquired with the vehicle as a unit. Specifically, the acquired voltage data is 100,000 pieces of previous historical data.
[0039] The analysis and screening step is to perform statistical analysis on the voltage data; analyze the cumulative voltage frequency distribution smaller than the preset voltage value by means of cumulative frequency, screen out the corresponding voltage value when the cumulative voltage frequency is less than X, and record it as the low-voltage threshold value; use The cumulative frequency method analyzes the cumulative voltage frequency distribution greater than the preset voltage value, screens out the corresponding voltage value when the cumulative voltage frequency is less than Y, and records it as the high voltage threshold;
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Embodiment 2
[0064] Different from Embodiment 1, in this embodiment, it also includes:
[0065] The vehicle body state acquisition step is to obtain vehicle body state data through a vehicle speed sensor electrically connected to the vehicle controller, and a plurality of temperature sensors electrically connected to the vehicle controller; wherein, the number of temperature sensors is at least three times the number of batteries, and the temperature sensors have The respective numbers, temperature sensors are evenly installed inside and outside the vehicle body, and the installation positions of each temperature sensor are pre-stored in the on-board controller;
[0066] In the body temperature analysis step, after the on-board controller receives the temperature fed back by the temperature sensor, it retrieves the corresponding installation position according to the number of the temperature sensor, and generates a temperature distribution map of the vehicle based on the temperature value ...
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