Method and system for controlling a powertrain in a hybrid vehicle

By introducing optimizer modules and digital twin technology into hybrid vehicles, the power management strategy is dynamically adjusted, solving the balance problem between fuel economy, performance and component life of hybrid vehicles, and realizing optimized control of vehicles under different driving conditions.

CN120942275APending Publication Date: 2025-11-14CUMMINS INC
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Patent Information

Application Number
CN202511295913.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2019-11-06
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

Existing hybrid vehicle powertrain control systems struggle to find the optimal balance between fuel economy, performance, emissions, and component lifespan, making it difficult for controls to make global optimization decisions.

Method used

The system employs a powertrain control system, including an engine, electric motor, energy storage device, and optimizer module. By receiving operator information, current vehicle status information, and route information, it dynamically adjusts the power management strategy and optimizes the vehicle's energy management using online learning and digital twin technology.

Benefits of technology

It enables dynamic optimization of hybrid vehicles under different driving conditions, improving fuel economy, performance and component life, and meeting the needs of different driving tasks.

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Abstract

Methods and systems for controlling a powertrain in a hybrid vehicle are disclosed. A method of operating a powertrain including an engine, an electric motor, and an optimizer module operatively coupled to the powertrain includes the steps of: receiving, by the optimizer module, operator information to travel a route from a remote management module; receiving, by the optimizer module, current route condition information for the route from a mapping application in response to the operator information; measuring, by the optimizer module, current vehicle state information of the hybrid vehicle; determining, by the optimizer module, a power management policy for the hybrid vehicle based on the current route condition information and the current vehicle state information, the power management policy including a brake mixing level of the hybrid vehicle; and adjusting, by the optimizer module, regenerative braking of the hybrid vehicle according to the brake mixing level of the power management strategy.
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