Cumulative risk modeling method for judging voltage consistency of battery pack
A modeling method and consistent technology, applied in battery/fuel cell control devices, measuring electricity, electric vehicles, etc., can solve the problems of large amount of calculation and small discrimination of accident vehicles, and achieve the effect of weakening the impact
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Embodiment 1
[0048] In order to quantify the voltage difference between the individual cells of the vehicle, this embodiment provides a cumulative risk modeling method for judging the consistency of the voltage value of the battery pack, such as figure 1 As shown, steps S1-S4 are included.
[0049] S1. Obtain the cell voltage value of the cell over time.
[0050] This step specifically includes steps:
[0051] S11. Collect the voltage value of the single battery every preset time period, and record the corresponding collection time;
[0052] S12. Obtain all the cell voltage values within the accumulation time period according to the order of acquisition time.
[0053] The core parameters that can be directly detected to represent the safety status of the single battery are mainly current, single battery voltage, etc., because the smallest monitoring units (single batteries) inside the battery pack are connected in series, and their currents are equal. Therefore, observing the consiste...
Embodiment 2
[0077] The difference between this embodiment and Embodiment 1 is that this embodiment takes another new energy electric vehicle (abnormal vehicle) with abnormal voltage as an example. The abnormal vehicle is equipped with a battery pack, and the battery pack includes 100 single cells. (ie n=100), decay period=5000, decay degree=10%, step S1 acquires 105000 cell voltage values. After the calculation of steps S2-S4, the cumulative risk curve obtained is as follows Figure 4 shown.
[0078] from Figure 4 It can be seen that the cumulative risk of the batteries marked 11 and 84 (cell 11 and cell 84) also increased faster than other single batteries, indicating that the operation of these two batteries is not stable, and the quality is not as good as other single batteries. During the working process of the battery pack, the single batteries except cell 11 and cell 84 are the most. Loss is inevitable.
[0079] and Example 1's image 3 In comparison, it can be seen that the a...
Embodiment 3
[0081] The difference between this embodiment and Embodiment 1 is that this embodiment takes another new energy electric vehicle (abnormal vehicle) with abnormal voltage as an example. The abnormal vehicle is equipped with a battery pack, and the battery pack includes 100 single cells. (ie n=100), decay period=5000, decay degree=10%, step S1 acquires 220000 cell voltage values. After the calculation of steps S2-S4, the cumulative risk curve obtained is as follows Figure 5 shown.
[0082] from Figure 5 It can be seen that after all the single batteries have been running for a period of time (about when the 200,000th single voltage value is collected), the cumulative risk increases significantly. It can be seen that the single batteries used in this electric vehicle all worked in the early stage. It is relatively stable. After reaching a certain time point, the quality drops precipitously, and the risk probability rises sharply in a short period of time, even reaching 100%. ...
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