According to EO Intelligent, AI is applied to body attitude and suspension adjustment in the chassis domain, and the intelligent turf of AI vehicle-road cloud data integration is the future development direction. At present, the application of AI in the chassis domain is in a relatively early stage, and domestic car manufacturers have applied AI to varying degrees. Manufacturers represented by Geely and Luxeed use AI to fuse site sensor data to assist site control; On top of this, Huawei has added environmental sensor data to improve the flexibility of vehicles through larger-scale AI data fusion computing. NIO has also introduced cloud computing and crowdsourcing maps, expanding the scope of AI services from single vehicles to multiple vehicles. EO Intelligent predicts that in the future, vehicle-road-cloud data fusion, AI synthesis of information and calculation, post-assisted vehicle site feed-forward according to road conditions, and adjustment of body attitude and suspension parameters are the development direction.
According to the general direction of the future development of EO Intelligent, from the AI application stage of vehicle-end data fusion to the AI application stage of vehicle-side multi-dimensional data fusion, the multi-modal fusion perception system is used to help the car perceive road conditions, realize intelligent torque control and intelligent damping adjustment under AI intelligent collaboration, improve the flexibility of the car, and reduce the bumpy feeling and impact feeling during driving. In the application stage of vehicle-end data combined with AI, this stage obtains the information of road ups and downs and bumps in front of the vehicle through vehicle-cloud data fusion, and feeds forward to adjust the suspension parameters to improve the comfort and safety of driving and riding. Finally, the AI application stage of vehicle-road cloud data combination is used to realize site control through AI vehicle-road information fusion calculation and crowdsourcing map update.
The application scope of AI technology in the power domain is constantly expanding
At present, the application of AI technology in the power domain is rapidly expanding, and it is reported that this technology plays an important role in battery management and thus energy distribution. In terms of battery management, AI can combine big data and digital twins for unsupervised learning, realize battery state prediction in the cloud, and provide users with battery management strategies. In terms of energy distribution, the large model fully learns the vehicle-end data such as navigation information, throttle opening, braking, and speed, as well as the data of customary routes, driving habits, and user habits, to realize the intelligence of energy management strategies and effectively reduce energy consumption.
Figure: The functional components of the body domain are gradually strengthening their connection with AI technology
EO Intelligent believes that the application scope of AI in the field of automotive power will continue to expand in the future, and energy supplement management may be the next field of deepening the application of AI technology. It is expected that in the future, the application of AI in the power domain will expand from the field of battery and energy management to the field of energy supplement. From the perspective of the electric vehicle, the AI model will assist the vehicle energy replenishment strategy, and intelligently adjust the charging and discharging strategy through intelligent energy replenishment management, so as to maximize the efficiency of energy replenishment utilization and save energy and reduce consumption. From the device side, the AI model will be applied to mobile charging equipment, further improving the flexibility and convenience of energy replenishment. From the perspective of the power grid, AI technology will promote the intelligence and efficiency of power grid construction. Through data analysis and optimization algorithms, AI can better manage grid resources and ensure efficient charging of electric vehicles during peak hours.
The connection between the body domain and AI technology is getting closer and closer
According to EO Intelligent, the functional components of the body domain are gradually being combined with AI technology, and the wiper and rearview mirror systems are upgraded by adding deep learning algorithms; External lighting devices combine machine learning, convolutional neural networks and perception algorithms to achieve intelligent control; Interior lighting, air conditioning, windows, sunroofs, doors, and trunks are gradually connected to the AI assistant to enable AI-controlled function adjustments. EO Intelligent believes that in the future, there will be AI intelligent assistants that unify and coordinate various functional components in the body domain to provide users with a more intelligent driving experience.
Judging from the analysis of EO Intelligent, it is expected that a body domain function system controlled by AI intelligent assistants will be formed in 2025 and beyond. In the future, the AI intelligent assistant will adjust the internal and external lighting switches according to the environment inside and outside the cabin, the occupant situation, and automatically start or turn off the wiper system according to weather conditions. The smart rearview mirror will be more closely integrated with autonomous driving technology to fully ensure driving safety. With the blessing of AI technology, the body domain will provide a more intelligent driving experience.
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