Electric Motor Speed Torque Control via Operational Model Path Selection
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Solution Overview
Problem
Electric vehicles face limited energy storage and energy loss issues, which affect vehicle mileage, and existing energy-saving technologies for electric motors often compromise power output and driving performance to prolong mileage.
Innovation Solution
A method for controlling the operating speed and torque of electric motors through an operational model that includes multiple operation positions and an optimal operation region, allowing for efficient energy consumption by adjusting parameters to move the motor through an optimal efficiency path, thereby optimizing motor efficiency and extending battery life without reducing driving experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If ECO mode is adopted to reduce power output and power consumption, then vehicle mileage is prolonged, but power output is reduced and driving requirements cannot be satisfied
Solution Approach 1:
The system dynamically adjusts motor operating parameters based on real-time detection of current speed and torque. The controller determines whether the motor is in optimal operation region and dynamically selects control paths (first path through intermediate position or second path directly to target) to balance energy efficiency and power output according to actual driving conditions.
Solution Approach 2:
The system changes operating parameters (speed and torque) by selecting different control paths in the operational model. When the motor is not in the optimal operation region, it adjusts parameters along the first path through an intermediate position to reach the optimal region, then proceeds to the target position, thereby improving energy efficiency without permanently reducing power capability.
2Use of energy by moving object
If ECO mode is adopted to reduce power consumption of electrical components, then vehicle mileage is prolonged, but driving requirements cannot be satisfied
Solution Approach 1:
The controller continuously detects current speed and torque parameters and uses this feedback to determine the motor's current operation position relative to the optimal operation region. Based on this feedback, the controller dynamically selects the appropriate control path (first path through intermediate position or second path direct to target) to balance energy consumption and driving performance requirements.
Solution Approach 2:
The system transitions from static ECO mode to dynamic control that adapts to real-time driving conditions. The controller dynamically adjusts whether to use the energy-saving first path or the direct second path based on current operating parameters and driving requirements, providing adaptability while managing energy consumption.
3Power
If the motor operates outside the optimal operation region, then power output can be maintained, but energy loss increases and mileage decreases
Solution Approach 1:
The system changes operating parameters by implementing a two-stage control approach: first adjusting speed and torque along the first path to enter the optimal operation region, then proceeding to the target position along the second path. This parameter adjustment strategy reduces energy loss during transient operations while maintaining the ability to reach required power output levels.
Solution Approach 2:
The system performs preliminary action by first guiding the motor through the intermediate operation position to enter the optimal operation region before reaching the final target position. This preliminary adjustment to optimal parameters reduces energy loss during the transition phase, while the subsequent direct path ensures timely delivery of required power output.
Data Source
AI summary
Systems and methods for controlling the operating speed and the torque of an electric motor using an operational model are described. An operational model for the electric motor, including a plot of engine performance parameters, is used for reference, and a most efficient output path, which may pass through an optimal operation region in the operational model, is selected. The most efficient output path may be determined, for example, according to locations of a current output state and a to-be-reached target state in the operational model, enabling the operating state of the motor to reach the target state from the current operating state. By selecting a more efficient output path, the operating efficiency of the motor may be optimized, the life of a battery improved and/or the operating mileage of the vehicle may be increased, without significantly reducing the driving experience.