Abstract: The disclosure relates to a data processing device for driving assisting, a data processing method for driving assisting, and associated storage medium and vehicle. The data processing device for driving assisting includes: a data processing system configured to receive and process a plurality of vehicle data; and a processing control system configured to perform degradation control under the condition that the data processing system is degraded, to receive and process the plurality of vehicle data in a degradation mode. The data processing device for driving assisting, the data processing method for driving assisting, and the associated storage medium and vehicle perform reasonable division of processing task and degradation control on the data processing system and the processing control system, thereby under the condition that modules in the data processing device stop operating, other modules can be allocated to take over the task timely and effectively.

Abstract: The disclosure relates to a data processing device for driving assisting, a data processing method for driving assisting, and associated storage medium and vehicle. The data processing device for driving assisting includes: a data processing system configured to receive and process a plurality of vehicle data; and a processing control system configured to perform degradation control under the condition that the data processing system is degraded, to receive and process the plurality of vehicle data in a degradation mode. The data processing device for driving assisting, the data processing method for driving assisting, and the associated storage medium and vehicle perform reasonable division of processing task and degradation control on the data processing system and the processing control system, thereby under the condition that modules in the data processing device stop operating, other modules can be allocated to take over the task timely and effectively.

Abstract: The invention provides an adaptive driving behavior adjusting method for an electric vehicle, intended for solving the problem that existing energy recovery approaches fail to fully satisfy endurance mileage extending requirements of electric vehicles and the problem that a charging or battery-swapping time cannot be accurately determined. The method comprises the steps of: estimating an endurance mileage of the electric vehicle; acquiring information of a location of the nearest charging pile or a destination by means of a GPS; acquiring information of a lane in which the electric vehicle is currently traveling by means of the GPS; and the electric vehicle selectively enters a forced adaptive driving mode or an optional adaptive driving mode, based on endurance mileage of the electric vehicle, the information of the location of the charging pile or the destination and the information of the lane.

Abstract: A system for controlling powertrain of an electric vehicle, comprising: a driver recognition module, configured for determining the identity information of the controlled vehicle's driver, and uploading the identity information to a backend computing unit; the backend computing unit, located at a remote end of the controlled vehicle, configured for generating a first control information based on the driver's identity information; an assist control module, configured for generating a second control information based on the information related to current driving of the controlled vehicle which is acquired from the backend computing unit; and a control information application module, integrated in the controlled vehicle, configured for applying the first and second control information to the powertrain of the controlled vehicle. Optimized control for powertrain is achieved and an excellent user experience is provided. The system can be implemented simply, and be updated and maintained conveniently.

Abstract: The invention provides an adaptive driving behavior adjusting method for an electric vehicle, intended for solving the problem that existing energy recovery approaches fail to fully satisfy endurance mileage extending requirements of electric vehicles and the problem that a charging or battery-swapping time cannot be accurately determined. The method comprises the steps of: estimating an endurance mileage of the electric vehicle; acquiring information of a location of the nearest charging pile or a destination by means of a GPS; acquiring information of a lane in which the electric vehicle is currently traveling by means of the GPS; and the electric vehicle selectively enters a forced adaptive driving mode or an optional adaptive driving mode, based on endurance mileage of the electric vehicle, the information of the location of the charging pile or the destination and the information of the lane.

Abstract: An automobile electrical system, intended to solve the problem that the existing automobile bus system has low efficiency and poor security in terms of the communication of different bus modules. For this purpose, the automobile electrical system comprises a gateway and a plurality of CAN buses connected to the gateway in parallel, wherein at least one module is connected to each of the CAN buses in parallel; and the automobile electrical system further comprises an ICAN isolation bus, wherein the ICAN isolation bus is arranged between at least two buses of the CAN buses and is used for connecting a module on one CAN bus to a module on another CAN bus. Further disclosed are an isolation system for an automobile electrical system and a method for isolating an automobile electrical system.

Abstract: A system for controlling powertrain of an electric vehicle, comprising: a driver recognition module, configured for determining the identity information of the controlled vehicle's driver, and uploading the identity information to a backend computing unit; the backend computing unit, located at a remote end of the controlled vehicle, configured for generating a first control information based on the driver's identity information; an assist control module, configured for generating a second control information based on the information related to current driving of the controlled vehicle which is acquired from the backend computing unit; and a control information application module, integrated in the controlled vehicle, configured for applying the first and second control information to the powertrain of the controlled vehicle. Optimized control for powertrain is achieved and an excellent user experience is provided. The system can be implemented simply, and be updated and maintained conveniently.