Hybrid Powertrain Torque Optimization Control Architecture
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Solution Overview
Problem
Powertrain systems with electro-mechanical transmissions face challenges in optimizing torque distribution and operational efficiency across multiple torque-generative devices, particularly in managing engine-off states and meeting operator torque requests effectively.
Innovation Solution
A method and apparatus that determine a range of permissible input torques from the internal combustion engine and optimize motor torque outputs from electrical machines based on selected states, calculating costs to identify a preferred input torque that minimizes overall system costs, thereby enhancing fuel economy and managing battery charging efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the powertrain operates in engine-off states relying solely on electrical machines, then fuel economy is improved, but the ability to meet operator torque requests is compromised
Solution Approach 1:
The control system dynamically adjusts operating parameters (torque distribution, gear selection, electrical machine torque output) based on real-time conditions. By iteratively selecting input torque states and calculating costs, the system identifies preferred operating points that optimize fuel economy while ensuring torque requests are met, even in engine-off states
Solution Approach 2:
The control architecture continuously monitors system states including electrical machine torque output, battery state of charge, and operator torque requests. This feedback loop enables the system to adjust electrical machine operation and gear selection to maintain reliability while optimizing fuel consumption during engine-off periods
2Productivity
If the system iteratively optimizes torque distribution across multiple operating states, then operational efficiency is improved, but computational complexity increases
Solution Approach 1:
The optimization problem is segmented into discrete iteratively selected states for input torque. By dividing the continuous torque range into discrete states and evaluating each independently, the system achieves comprehensive optimization without requiring computationally intensive continuous optimization algorithms
Solution Approach 2:
The system performs iterative optimization over a range of permissible input torques, evaluating each state to determine preferred operating conditions. This partial action approach optimizes only the critical torque distribution parameters rather than all possible system parameters, balancing computational load with optimization effectiveness
Data Source
AI summary
There is provided a control system for a powertrain system including an electro-mechanical transmission operative in a plurality of fixed gear modes and continuously variable modes. The control system is adapted to identify preferred operating conditions for operating the powertrain in a fixed gear operating range state. The method comprises determining a range of permissible input torques. States for input torque are iteratively selected, and a motor torque output from the first electrical machine is optimized based upon the selected state for the input torque. A motor torque output from the second electrical machine is determined based upon the optimized motor torque output from the first electrical machine. A cost for each of the iteratively selected states for the input torque and the motor torques from the first and second electrical machines is calculated. A preferred operating range is identified based upon the plurality of costs.