Abstract: Disclosed herein are a method and a device for remotely diagnosing vehicle faults, a vehicle and a computer storage medium. The method includes monitoring vehicle data uploaded by the vehicle in real time via a cloud platform, and determining whether to identify a preset fault abnormal signal identification from target data of the vehicle data. The method also includes, in response to the fault abnormal signal identification being identified from the target data, sending a fault diagnosis task to the vehicle according to the target data, and receiving diagnosis result data returned by the vehicle after the fault diagnosis task is executed locally by the vehicle. The method further includes generating a remote fault diagnosis result of the vehicle according to the vehicle data and the diagnosis result data.

Abstract: Disclosed herein are a method and a device for remotely diagnosing vehicle faults, a vehicle and a computer storage medium. The method includes monitoring vehicle data uploaded by the vehicle in real time via a cloud platform, and determining whether to identify a preset fault abnormal signal identification from target data of the vehicle data. The method also includes, in response to the fault abnormal signal identification being identified from the target data, sending a fault diagnosis task to the vehicle according to the target data, and receiving diagnosis result data returned by the vehicle after the fault diagnosis task is executed locally by the vehicle. The method further includes generating a remote fault diagnosis result of the vehicle according to the vehicle data and the diagnosis result data.

Abstract: Disclosed herein are a vehicle thermal runaway warning method, device, electronic equipment and readable storage medium. The method of vehicle thermal runaway warning includes obtaining operating data of a vehicle, the operating data including a plurality of cell voltage data of a battery pack in the vehicle, and dividing time windows for the plurality of cell voltage data according to a collection timing of the operating data. The method also includes extracting cell voltage characteristics from a partial cell voltage data corresponding to each of the divided time windows. The method further includes, in response to each cell voltage characteristic meeting a preset voltage warning condition, determining that the vehicle has a risk of thermal runaway, and controlling the vehicle to output thermal runaway warning information.

Abstract: Disclosed are a consistency evaluation method for a vehicle battery cell, a device, an equipment, and a storage medium. The method includes: acquiring vehicle operation data, and selecting effective cell data in the vehicle operation data according to a preset effective data standard; processing the effective cell data according to a preset cell consistency index processing method to obtain cell consistency index data; determining a total index deviation value of all battery cells in the current vehicle according to the cell consistency index data; and if the total index deviation value exceeds a preset deviation threshold, determining a consistency risk of the current vehicle.

Abstract: Disclosed are a method and a device for predicting state of health of a battery, an electronic equipment and a readable storage medium. The method includes: obtaining battery data of a vehicle; performing feature extraction on the battery data to obtain a vehicle-using behavior feature corresponding to the vehicle; predicting and obtaining a predicted vehicle-using behavior feature of the vehicle in a next time step according to the vehicle-using behavior feature; and predicting and obtaining a health degree of the battery in the vehicle according to the predicted vehicle-using behavior feature and a battery health state prediction model.