Temperature consistency prediction method and device, prediction equipment and storage medium
A prediction method and consistent technology, applied in the direction of electrical devices, battery/fuel cell control devices, vehicle energy storage, etc., can solve problems such as potential safety hazards, achieve the effect of improving safety and realizing fault isolation
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Embodiment 1
[0041] figure 1 It is a flowchart of a method for predicting temperature consistency provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of predicting the temperature consistency of a power battery module. Specifically, the temperature consistency prediction method can be executed by a temperature consistency prediction device, and the temperature consistency prediction device can be implemented by means of software and / or hardware, and integrated into a prediction device. Further, the prediction equipment includes, but is not limited to: electronic equipment such as desktop computers, driving computers, smart phones, Internet of Vehicles servers, and cloud servers.
[0042] Such as figure 1 As shown, the method specifically includes the following steps:
[0043] S110. Collect vehicle state data, where the vehicle state data includes temperature data and time series information collected by a common temperature sensor between eac...
Embodiment 2
[0065] image 3 It is a flow chart of a method for predicting temperature consistency provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the foregoing embodiments, and the process of predicting temperature consistency is described in detail. It should be noted that for technical details not exhaustively described in this embodiment, reference may be made to any of the foregoing embodiments.
[0066] Specifically, such as image 3 As shown, the method specifically includes the following steps:
[0067] S210. Collect vehicle state data.
[0068] Specifically, the vehicle state data includes temperature data and time series information of each group of modules, for example, includes temperature data of each group of modules within 20 minutes, and every minute corresponds to a group of temperature data. It should be noted that the vehicle status data can be collected and predicted in real time, that is, if the temperature data is col...
Embodiment 3
[0098] Figure 4 It is a flow chart of a temperature consistency prediction method provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the above embodiments, and the working principle of the prediction model is described in detail. It should be noted that for technical details not exhaustively described in this embodiment, reference may be made to any of the foregoing embodiments.
[0099] Specifically, such as Figure 4 As shown, the method specifically includes the following steps:
[0100] S310. Obtain historical temperature data and historical time series information.
[0101] Specifically, the prediction results corresponding to the historical temperature data and the historical time series information are known, that is, the labels are known, so they can be used as sample data of the prediction model.
[0102] S320. Construct a prediction model according to historical temperature data and historical time series information. ...
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