Vehicle Driving Mode Control Using Location-Based Sample Vehicle Data
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Solution Overview
Problem
Existing driving mode control systems in vehicles are inconvenient for drivers, as they require manual selection of driving modes, which can lead to inappropriate mode selection for current road conditions, especially for unfamiliar drivers.
Innovation Solution
A driving mode control method that uses a control platform to acquire location information from a target vehicle, determine the status data of sample vehicles that have traveled through the target location, and automatically select and send the target driving mode to the target vehicle based on the sample vehicle's status data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drivers manually select driving modes via Head Unit, then drivers have control over driving mode selection, but the operation is inconvenient and would distract the drivers
Solution Approach 1:
The system enables automatic driving mode selection by having the vehicle itself determine and switch driving modes based on real-time road condition data, eliminating the need for manual driver input. The vehicle autonomously queries road information, processes it, and selects appropriate driving modes, making the system self-sufficient in mode selection tasks.
Solution Approach 2:
The patent replaces the manual mechanical operation of selecting driving modes through the Head Unit with an automated electronic control system. The system uses electronic communication to query road conditions and automatically determines driving modes, substituting manual mechanical interaction with automated electronic control processes.
2Reliability
If drivers manually select driving modes based on their driving habits and experience, then drivers can choose modes according to their preferences, but an unsuitable driving mode would probably be selected for a current road condition if the driver is unfamiliar with the road condition
Solution Approach 1:
The system introduces road condition information as an intermediary element between the driver and driving mode selection. Instead of directly selecting modes based on driver preference, the system queries and processes objective road condition data (such as road grade, curvature, and surface conditions) to determine the most appropriate driving mode, ensuring accuracy based on actual road conditions rather than subjective driver judgment.
Solution Approach 2:
The system implements a feedback mechanism by continuously querying real-time road condition information and using this feedback to automatically adjust and select driving modes. The control unit receives road condition data, processes it according to predetermined criteria, and dynamically determines the optimal driving mode, creating a closed-loop control system that adapts to changing road conditions.
3Measurement precision
If the vehicle queries and processes road condition information in real-time, then the driving mode selection accuracy is improved, but the processing time and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing the correspondence relationships between road condition parameters and driving modes during system setup. The control unit is pre-programmed with decision logic and criteria for selecting driving modes based on road conditions, so that when real-time data is received, the system can quickly match the current conditions against pre-defined criteria and immediately determine the appropriate mode without complex real-time calculations.
Data Source
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AI summary
A driving mode control method, apparatus, device, program and storage medium, which relates to the technical field of electronic control, and is for a control platform, the method comprises: acquiring a location information sent by a target vehicle, wherein the location information comprises a target location (101); determining a status data of at least one sample vehicle pre-stored by the control platform based on the target location, wherein the sample vehicle is a vehicle which has travelled through the target location (102); determining a target driving mode based on the status data of the sample vehicle, and sending the target driving mode to the target vehicle, such that the target vehicle travels in the target driving mode (103). By determining a corresponding sample vehicle based on the location information of the target vehicle, and then determining a suitable target driving mode for the target vehicle to currently travel in based on the status data of the sample vehicle, this disclosure enables the target vehicle to travel in the target driving mode. The driver needs not to manually switch the driving mode, and the accuracy and convenience of controlling the drive mode are improved.