Electrified Vehicle Torque Optimization via 3D Dimension Reduction
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Solution Overview
Problem
Conventional torque control systems for range-extended electrified vehicles (REEVs) with three or more electric motors face computational challenges due to the complexity of four-dimensional optimization problems, which exceed typical processing capabilities.
Innovation Solution
A physics-based approach reduces the four-dimensional optimization problem to a three-dimensional problem by determining a torque relationship between two electric motors using scalar coefficients and constants, allowing for online torque optimization through various dimension reduction strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a four-dimensional optimization problem is solved for torque control in electrified vehicles with three or more electric motors, then optimal torque distribution is achieved, but computational complexity exceeds typical processing capabilities
Solution Approach 1:
The patent segments the four-dimensional optimization problem into multiple lower-dimensional sub-problems. Specifically, it divides the torque optimization across three electric motors and one torque generating system into separate controllable modules, where each motor's torque is optimized independently based on local constraints and global objectives, reducing the overall computational burden while maintaining optimization effectiveness
Solution Approach 2:
The patent transforms the four-dimensional optimization problem by changing parameters from continuous torque values to discrete torque levels or by applying dimensional reduction techniques. This parameter transformation converts the complex 4D problem into a series of simpler 3D or 2D optimization problems that can be solved within typical processing capabilities while preserving the essential optimization characteristics
2Reliability
If conventional torque control systems are used for electrified vehicles with three electric motors, then the system works for its intended purpose, but processing power requirements are substantially higher than typically available
Solution Approach 1:
The patent applies preliminary action by pre-calculating optimal torque relationships, efficiency maps, and control strategies during system design or offline processing. These pre-computed data structures and control algorithms are then stored and rapidly applied during real-time operation, ensuring reliable torque control functionality while minimizing real-time processing power requirements
Solution Approach 2:
The patent replaces complex real-time computational mechanics with simplified control logic and lookup tables based on pre-computed optimization results. Instead of performing heavy four-dimensional optimization calculations in real-time, the system uses dimensionally-reduced models and pre-determined torque distribution strategies that maintain functional reliability with significantly reduced processing power demands
Data Source
AI summary
A torque optimization system for an electrified vehicle having an electrified powertrain including three electric motors a, b, and c and an additional torque generating system includes a set of sensors configured to measure a set of operating parameters of the electrified vehicle and a control system configured to determine a torque relationship between electric motors b and c, solving a three-dimensional (3D) optimization problem for the electrified powertrain, the 3D optimization problem defining torques generatable by one of electric motors b and c, electric motor a, and the additional torque generating system, determine torque commands for the three electric motors a, b, and c and the torque generating system based on the solving of the 3D optimization problem, the determined torque relationship, and the set of operating parameters, and control the electrified powertrain based on the determined torque commands.