2results about How to "Reduce driving intensity" patented technology

The application provides a rear axle steering continuous pipe operation roller semi-trailer. The semi-trailer comprises a frame, a roller arranged on the frame, a rear axle assembly and a rear axle steering mechanism. The rear axle steering mechanism comprises an upper support seat, a rotary disc bearing, a lower support seat and a steering driving assembly. The steering driving assembly and the upper support seat are arranged on the frame, the rotary disc bearing is connected with the upper support seat and the lower support seat respectively, and the lower support seat is fixedly connected with the rear axle assembly. The steering driving assembly is connected with the lower support seat to drive the lower support seat to rotate relative to the upper support seat and drive the rear axle assembly to rotate. The rear axle assembly is steered by adopting the steering driving mechanism to drive the lower support seat. The relative rotation angle between the frame and the wheel is large, the turning radius of the semi-trailer is reduced, the reliability of the steering driving is improved, the safety of the whole vehicle is improved, and the driving strength of the vehicle is reduced.

This invention relates to the field of intelligent connected vehicle technology, specifically to an artificial intelligence-based cloud-based speed planning system for new energy commercial vehicles. The system uses a data acquisition module to collect data from the vehicle, including route planning, vehicle weight, continuous driving time, battery SOC, vehicle configuration information, system time, and weather. It also collects road information from the cloud, such as gradient, road grade, curve curvature, number of lanes, and speed limits. After being structured according to certain rules by a data processing module, the data is input into an algorithm model generated by a cloud database and artificial intelligence algorithms. This results in a speed curve on the planned road that balances comfort, economy, and transportation efficiency. As samples accumulate, the quality of the database and the accuracy of the algorithm model are continuously optimized, ultimately reducing the driver's workload, lowering vehicle energy consumption, and improving vehicle operating efficiency.