Road-Mapped Suspension Damping Control for Vehicle Ride Comfort
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Solution Overview
Problem
Existing vehicle suspension control systems often fail to determine the optimum setting value for damping force, leading to suboptimal riding comfort for occupants.
Innovation Solution
An information processing device connected to a vehicle via a network, which includes a map database with control parameters for each vehicle type at each road point, acquires vehicle information to set and update application control parameters for adjusting the suspension damping force based on real-time observations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the setting value of the suspension is determined based on the tuning data transmitted from the vehicle to the external server, then the suspension control can be adjusted, but it is not always possible to determine the optimum setting value
Solution Approach 1:
The patent implements a feedback mechanism where observation values from actual vehicle behavior are transmitted back to the external server. The server uses this feedback to update the map database, improving the accuracy of control parameters for future recommendations. This closed-loop feedback system enables continuous optimization of suspension settings based on real-world performance data.
Solution Approach 2:
The patent pre-stores control parameters in a map database associated with specific travel points and vehicle types before actual vehicle operation. When a vehicle reaches a particular location, the system can immediately retrieve and apply pre-calculated optimal parameters without requiring real-time computation, enabling rapid response to changing road conditions.
2Measurement precision
If control parameters are stored for each vehicle type at each point on the road, then the riding comfort can be optimized, but the data storage requirement increases
Solution Approach 1:
The patent stores control parameters specifically tailored to each combination of vehicle type and travel point in the map database. Rather than using generic parameters, the system maintains localized, specific parameters for different vehicle types (e.g., passenger cars, trucks, motorcycles) at different geographic locations, ensuring optimal performance for each specific scenario while avoiding unnecessary storage of irrelevant data.
Data Source
AI summary
provided is an information processing device comprising: a map database in which a control parameter for controlling the behavior of the vehicle is recorded for each vehicle type at each point on a road; a data reading unit that acquires vehicle information including at least vehicle type information and positional information of the vehicle and reads the control parameter corresponding to the travel point of the vehicle from the map database based on the vehicle information; a parameter setting unit that sets an application control parameter to be applied to control of the vehicle based on the control parameter read by the data reading unit; and a data update unit that acquires an observation value related to the behavior of the vehicle controlled based on the application control parameter from the vehicle and updates the map database based on the observation value.