ThyssenKrupp had 22 patents in future of work during Q2 2024. ThyssenKrupp AG filed a patent for a system in a vehicle that uses a control algorithm to manage actuators such as brake, drive, and steering actuators to optimize performance, efficiency, and stability. Another patent involves a method for training a machine-learning module to predict product quality parameters in a chemical production plant using sensor data and chronological sequence information. GlobalData’s report on ThyssenKrupp gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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ThyssenKrupp had no grants in future of work as a theme in Q2 2024.

Recent Patents

Application: System (Patent ID: US20240149889A1)

The patent filed by ThyssenKrupp AG describes a system designed to optimize the performance, efficiency, and stability of a vehicle, particularly a motor vehicle. The system includes various components such as a reference trajectory device, cost function device, dynamic model device, summing device, controller, brake actuator device, drive actuator device, steering actuator device, multiplexer, and the vehicle itself. The controller executes a control algorithm to manage the actuators, ensuring optimal performance by coordinating the brake, drive, and steering actuators.

The system is configured to process trajectory data, kinematics reference model data, and vehicle force data to determine the required vehicle forces based on a dynamic model. It also considers factors such as passenger comfort, traffic rules, and actuator limitations to distribute torque effectively between the steering, drive, and brake actuators. Additionally, the controller is capable of estimating and measuring actuator and vehicle status, providing feedback to ensure the system operates efficiently. Overall, the system aims to enhance the overall performance, efficiency, and stability of the vehicle through intelligent control algorithms and actuator management.

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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.