Hybrid Powertrain Actuator Control via Segmented Constraints

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Solution Overview

Problem

Existing powertrain systems face challenges in efficiently managing power distribution and torque control across multiple torque-generative devices, such as internal combustion engines and electric machines, to optimize fuel economy, emissions, and drivability while maintaining battery health and system efficiency.

Innovation Solution

A method for controlling a powertrain system that determines operator requests and sets power constraints for multiple power actuators based on energy storage device constraints, allowing for coordinated control of electric machines and the engine to optimize torque distribution and energy management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple torque-generative devices are used to improve powertrain flexibility and efficiency, then fuel economy and drivability are improved, but power distribution management complexity increases

Engineering Contradiction:
Improvepowertrain flexibilityVSAvoidpower distribution management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The power distribution management is segmented into distinct control modules: a power management controller that determines power constraints, individual actuator controllers for each torque-generative device, and a coordination controller. This segmentation allows each module to handle specific aspects of power distribution independently, reducing overall system complexity while maintaining flexibility.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts power constraints and torque distribution based on real-time operating conditions, energy storage device state, and actuator capabilities. The controller continuously modifies power constraints for each actuator, enabling adaptive powertrain flexibility without requiring complex manual management.

Inventive Principle:
Principle #15Dynamics

2Duration of action of stationary object

If power constraints are dynamically adjusted based on energy storage device constraints, then battery health is extended, but control system complexity increases

Engineering Contradiction:
Improvebattery lifeVSAvoidcontrol system complexity
Core Design Contradiction:
Duration of action of stationary objectVSDevice complexity

Solution Approach 1:

The power management controller determines power constraints for each actuator in advance, based on predicted energy storage device constraints and operating conditions. By proactively setting power constraints before battery stress occurs, the system extends battery life without requiring complex real-time intervention or monitoring mechanisms.

Inventive Principle:
Principle #10Preliminary action

3Use of energy by moving object

If coordinated control of multiple actuators is implemented to optimize torque distribution, then fuel economy is improved, but system control complexity increases

Engineering Contradiction:
Improvefuel economyVSAvoidsystem control complexity
Core Design Contradiction:
Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The control system continuously monitors operating conditions, energy storage device state, and actuator performance, using this feedback to dynamically adjust power constraints and torque distribution. This feedback mechanism enables optimized fuel economy through coordinated actuator control while maintaining manageable system complexity through rule-based control logic.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP2055597B1Method for controlling power actuators in a hybrid powertrain system
Publication Date: 2013.05.22 GM GLOBAL TECHNOLOGY OPERATIONS LLC
  • EP2055597B1 patent drawingFigure 1
  • EP2055597B1 patent drawingFigure 2
  • EP2055597B1 patent drawingFigure 3

AI summary

A method for controlling a powertrain system includes controlling a first power actuator (56) based upon a set of power constraints for the first power actuator (56). The method further includes controlling a second power actuator (72) based upon the set of power constraints for the second power actuator (72).