PREDICTING BATTERY STATE OF HEALTH
    1.
    发明公开

    公开(公告)号:US20230288489A1

    公开(公告)日:2023-09-14

    申请号:US18096707

    申请日:2023-01-13

    Applicant: Cummins Inc.

    CPC classification number: G01R31/392 B60L3/12 G01R31/007 G01R31/367 G01R31/396

    Abstract: A system and method used to predict the state of health of a battery in a powertrain of a vehicle including a vehicle route profile generator arranged to generate a vehicle specific rout profile based on historical vehicle driving information, are disclosed. In one example, the system and method also include a powertrain model to convert the vehicle specific route profile to a predicted battery demand profile, and a state of health profile generator to generate a predicted state of health profile of the battery based on the predicted battery demand. In another example, the system further includes a vehicle performance manager arranged to generate a command to modify operation of the powertrain to extend battery life based on the vehicle specific route profile.

    SYSTEM OPTIMIZATION FOR AUTONOMOUS TERMINAL TRACTOR OPERATION

    公开(公告)号:US20250021105A1

    公开(公告)日:2025-01-16

    申请号:US18902809

    申请日:2024-09-30

    Applicant: Cummins Inc.

    Abstract: Systems and methods for autonomous vehicle control are provided. A remote computing system includes a communication interface coupled to a network, a map database storing centralized map data, a processor, and a memory storing instructions that, when executed by the processor, cause the processor to perform operations. The operations include: receiving a transport request including a first location and a second location; selecting a first vehicle of a plurality of vehicles for the transport request based on at least one of the transport request and a vehicle status; transmitting the centralized map data to the first vehicle; causing the first vehicle to complete the transport request, including causing the first vehicle to autonomously transport from the first location to the second location and causing the first vehicle to collect first sensor data; receiving the first sensor data in real-time; and, updating the centralized map data with the first sensor data.

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