Hybrid Transmission Torque Control via Quadratic Constraints
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Solution Overview
Problem
Existing hybrid powertrain systems face challenges in efficiently managing torque distribution and energy storage within hybrid transmission systems, particularly in determining optimal output torque and power constraints to maximize fuel economy and battery charging while minimizing battery power consumption.
Innovation Solution
A method for controlling hybrid transmissions that involves determining preferred output torque, power constraints from the energy storage device, motor torque constraints, linear torque constraints, and quadratic output torque constraints, and then calculating an output torque based on these constraints to achieve optimal system efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the hybrid transmission system operates with simplified torque management, then the control system complexity is reduced, but fuel economy and system efficiency deteriorate
Solution Approach 1:
The control system dynamically adjusts operating parameters including output torque, motor torque, and power constraints based on real-time system state. By continuously optimizing these parameters through mathematical relationships and constraints, the system achieves improved fuel economy without requiring complex structural modifications to the transmission architecture.
2Use of energy by moving object
If the hybrid transmission system uses advanced torque optimization algorithms, then fuel economy and system efficiency are improved, but the computational complexity and control system requirements increase
Solution Approach 1:
The system pre-establishes mathematical relationships and constraint models for torque management before actual operation. By preparing the optimization framework in advance, including defining power constraints, motor torque constraints, and their interrelationships, the system can execute efficient real-time control without requiring complex computational algorithms during dynamic operation.
3Loss of energy
If the system optimizes power distribution between energy storage device and motor, then battery charging efficiency is improved, but the torque management complexity increases
Solution Approach 1:
The control system implements continuous feedback monitoring of power constraints from the energy storage device and motor torque output. By measuring actual system state and comparing it against optimal targets derived from mathematical relationships, the system dynamically adjusts power distribution to minimize battery power consumption while maintaining manageable torque control through closed-loop regulation.
Data Source
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AI summary
A hybrid transmission (10) includes a torque machine (56,72) and an energy storage device (74) connected thereto. The hybrid transmission (10) is operative to transfer power between an input member (12) and an output member (64) and the torque machines (56,72) in a fixed gear operating range state. A method for controlling the hybrid transmission (10) includes determining a preferred output torque, determining a relationship between power from the energy storage device (74) and an output torque of the transmission (10), determining power constraints from the energy storage device (74), determining motor torque constraints for the torque machine (56,72), determining linear torque constraints to the output torque based upon the motor torque constraints for the torque machine (56,72), determining quadratic output torque constraints based upon the power constraints from the energy storage device (74) and the relationship between the power from the energy storage device (74) and the output torque of the transmission device (10), and determining an output torque to the output member (64) responsive to the preferred output torque and achievable based upon the linear output torque constraints and the quadratic output torque constraints.