TuSimple has patented a system and method for autonomous vehicle control to minimize energy costs. The technology involves generating potential routings, predicting energy consumption rates, and modifying vehicle motion control operations to reduce actual energy consumption rates during transit. GlobalData’s report on TuSimple gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Discover B2B Marketing That Performs
Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.
According to GlobalData’s company profile on TuSimple, Autonomous freight management was a key innovation area identified from patents. TuSimple's grant share as of January 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.
Optimizing autonomous vehicle routing to minimize energy consumption
A recently granted patent (Publication Number: US11886183B2) discloses a method for optimizing energy consumption in autonomous vehicles during navigation. The method involves generating vehicle motion control operations to guide the vehicle from its current location to a destination, predicting the energy consumption rate for the route, and adjusting the vehicle's operations in real-time to ensure that the actual energy consumption is lower than the predicted rate. Additionally, the method includes evaluating multiple alternative routes based on their respective energy consumption rates and selecting the most energy-efficient route for navigation.
Furthermore, the patent encompasses a computer-readable storage medium storing instructions for implementing the energy optimization method in autonomous vehicles. These instructions involve utilizing a vehicle energy consumption model trained on either the specific vehicle's characteristics or aggregate characteristics of a class of vehicles. The system also incorporates sensor data from both internal and external sensors on the vehicle to fine-tune the vehicle motion control operations. By leveraging environmental map data and real-time sensor inputs, the method aims to enhance energy efficiency in autonomous vehicles by dynamically adjusting speed, acceleration, steering, braking, motor torque, and gear usage during navigation.
To know more about GlobalData’s detailed insights on TuSimple, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
