Traction Control Torque Estimation for Rapid Road Surface Adaptation
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Solution Overview
Problem
Existing traction control systems for electric vehicles struggle to rapidly adjust torque settings in response to changing road surface conditions, leading to instability and reduced safety, especially when transitioning from dry to frozen surfaces, due to the time required for accurate estimation of slip ratios and driving torque.
Innovation Solution
A traction control device and method that quickly estimates slip ratios and driving torque using error ratios and feedback control, allowing for adaptive limitation of torque settings based on real-time data from movement speed, rotational speed, and motor current, enabling rapid stabilization during road surface changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accurate estimation of slip ratios and driving torque is performed using conventional methods, then measurement precision is improved, but response time increases causing delay in torque adjustment
Solution Approach 1:
The patent implements feedback control by continuously monitoring the difference between requested torque and actual torque, and adjusting the torque command accordingly. The control unit calculates torque estimation errors and uses these feedback signals to rapidly adjust torque settings without requiring time-consuming conventional estimation procedures, thus achieving both accuracy and rapid response.
Solution Approach 2:
The patent replaces conventional mechanical estimation methods with electrical control systems that directly calculate and adjust torque based on motor current and rotational speed sensors. This substitution of estimation methodology enables instantaneous torque adjustment by using electrical signal processing rather than mechanical measurement and calculation procedures.
2Speed
If torque settings are rapidly adjusted in response to road surface changes, then responsiveness is improved, but stability deteriorates due to insufficient estimation accuracy
Solution Approach 1:
The feedback control mechanism continuously monitors torque estimation errors and adjusts torque commands in a controlled manner. By using feedback gain parameters and error correction terms, the system achieves rapid yet stable torque adjustment that prevents vehicle instability while maintaining responsiveness to road surface changes.
Solution Approach 2:
The patent implements dynamic torque adjustment where the torque command is continuously modified based on real-time conditions. The control system adapts torque settings dynamically by combining feedforward torque requests with feedback corrections, enabling the vehicle to respond rapidly to changing road conditions while maintaining stability through continuous adjustment rather than abrupt changes.
3Reliability
If conventional traction control methods are used, then safety is maintained under normal conditions, but reliability decreases during transitions between dry and frozen road surfaces
Solution Approach 1:
The patent implements dynamic adaptation to changing road conditions through continuous torque estimation and feedback control. The system automatically adjusts torque commands based on real-time measurements of motor current, rotational speed, and slip ratio, enabling reliable operation during transitions between dry and frozen surfaces by adapting to the current road condition rather than relying on fixed control parameters.
Solution Approach 2:
The traction control system performs self-adjustment by continuously monitoring its own performance through torque estimation errors and automatically correcting torque commands. This self-service capability enables the system to maintain safety and reliability during road surface transitions without requiring external intervention or pre-programmed responses to specific road conditions.
Data Source
Figure 1~2
Figure 3(A)~3(C)
Figure 4(A)~4(B)
AI summary
The movement speed v of a moving body having driving wheels driven by a motor, the rotational speed ω of the drive wheels of the moving body, and the actual torque value Tm generated by the motor are acquired. Subsequently, a limiting part (741) calculates an estimated slip ratio λ and an estimated driving torque Td on the basis of the movement speed v, the rotational speed ω and the actual torque value Tm. Next, the limiting part (741), after calculating a limit value L on the basis of the estimated slip ratio λ and estimated driving torque Td, uses the limit value L to calculate a limited torque value TL. Further, with an adhesive model as the reference model, a feedback part (742) calculates a feedback torque value Tf on the basis of the rotational speed ω and the actual torque value Tm. Then, a torque setting value calculation part (743A) calculates a torque setting value Ts on the basis of the limited torque value TL and the feedback torque value Tf. As a result, it is possible to quickly realize control in accordance with changes in the road surface state, thus allowing safe travel while ensuring drive power.