Battery system SOC consistency evaluation method and internal resistance consistency evaluation method
A battery system and consistent technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of relying on historical data, unable to deal with battery differences, and complicated training methods, so as to simplify calculation methods and improve accuracy , the effect of improving the accuracy
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Embodiment 1
[0061] Such as figure 1 As shown, this embodiment provides a battery system SOC consistency evaluation method, including
[0062] Step A: Obtain the monitoring data of the battery operation process, clean the process monitoring data, and slice the charging status in the cleaned data;
[0063] The monitoring data includes time, total voltage, total electricity, current, cell voltage, cell temperature, and mileage, and the collection interval does not exceed 30 seconds;
[0064] The cleaning data is to eliminate erroneous data, including data containing collection errors and missing values, so as to provide an effective data set for the model;
[0065] Slicing is performed on the clean data obtained after cleaning, and the data of the charging state is selected for SOC consistency evaluation. In this embodiment, the charging data in the range of SOC≥40% is selected for SOC consistency evaluation.
[0066] Step B: Calculate the absolute deviation degree and relative deviation d...
Embodiment 2
[0082] refer to Figure 7 , this embodiment provides a battery system internal resistance consistency evaluation method. The difference between this embodiment and Embodiment 1 is that in step A, the data slice of the discharge state is used for calculation. In addition, the value of the deviation base in the sigmoid function is 2.5, Slice in the range of SOC ≥ 20% to obtain the data required for calculation.
[0083] Taking the electric vehicle B in normal use as an example to evaluate the consistency of internal resistance, the voltage data of a discharge process of electric vehicle B after cleaning and slicing are obtained as follows: Figure 8 As shown, through the calculation of the absolute deviation degree and relative deviation degree, the relative deviation degree of the voltage of each battery cell of electric vehicle B during this discharge process is obtained, from which it can be concluded that the voltage of the battery cell of No. 53 The abnormality is obviousl...
Embodiment 3
[0085] refer to Figure 10 , this embodiment provides a battery system consistency evaluation method, including
[0086] S1: Obtain the monitoring data of the battery operation process;
[0087] S2: Clean the process monitoring data;
[0088] S3: Slice the monitored data after cleaning according to the charging, discharging, and shelving states, and record the same state in consecutive time periods as a stage slice;
[0089] S4: Select the charge stage slice and the discharge stage slice to calculate the absolute deviation degree and relative deviation degree of each monomer in this stage slice respectively;
[0090] S5: Use the sigmoid function to convert the relative deviation degree of the slice in the charging stage into the abnormal rate of SOC consistency; convert the relative deviation degree of the slice in the discharging stage into the difference rate of the internal resistance consistency.
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