Vehicle Suspension Control Using Inferred Wheel Acceleration
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Solution Overview
Problem
The accuracy of suspension control in vehicles is insufficient due to the lack of precise sensor data, particularly in systems without acceleration sensors for each wheel, which limits the reflection of the entire vehicle's rigidity characteristics.
Innovation Solution
A suspension control device and method that utilizes a parameter storage unit for pre-determined machine learning-based correlations between vehicle behavior information and sensor data, a vehicle behavior inference unit to infer sensor data from communication data, and a control value calculation unit to adjust suspension settings, eliminating the need for individual wheel acceleration sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from acceleration sensors for each wheel is used for suspension control, then measurement precision of suspension parameters is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual copy of sensor data by inferring acceleration information from wheel speed sensor data through differentiation calculations. Instead of installing physical acceleration sensors at each wheel, the system calculates equivalent acceleration data from existing wheel speed measurements, thereby achieving the measurement precision of acceleration sensors without the device complexity and cost
Solution Approach 2:
The patent replaces the mechanical sensor system (acceleration sensors) with a computational approach (differentiation of wheel speed data). By substituting physical sensing components with signal processing operations, the system eliminates the need for additional sensors while maintaining the ability to detect suspension dynamics accurately
2Device complexity
If wheel speed variation is used to control damping force, then device complexity is reduced, but manufacturing precision of suspension control is insufficient
Solution Approach 1:
The patent transforms the control parameter from direct wheel speed variation to derived acceleration information through mathematical differentiation. By changing the parameter representation from speed (first-order) to acceleration (second-order), the system achieves more precise suspension control that reflects actual dynamic conditions while still using only wheel speed sensors
Solution Approach 2:
The patent introduces an intermediary computational process (differentiation operation) that bridges the gap between available wheel speed data and required acceleration information. This intermediary calculation layer enables precise suspension control by converting readily available sensor data into the appropriate control parameter without requiring additional sensors
Data Source
AI summary
A suspension control device includes: a parameter storage unit that stores a parameter indicating a correspondence between behavior information indicating behavior of a vehicle and sensor data related to a suspension of the vehicle, the parameter determined in advance by machine learning; a vehicle behavior inference unit that receives the behavior information among communication data transmitted in the vehicle and infers the sensor data related to the suspension of the vehicle based on the behavior information and the parameter in the parameter storage unit; and a control value calculation unit that calculates a suspension control value for controlling the suspension based on the inferred sensor data.