Vehicle Braking Control with Feedback-Based Parameter Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current teaching methods in driving schools rely on human coaches who may lack real-time judgment and energy, and unchanging braking programs are not suitable for every vehicle, leading to poor somatic sensation during braking.
Innovation Solution
A braking method and apparatus that generates a braking control signal based on vehicle-specific parameters, collects and evaluates braking data to adjust parameters for improved braking effect and somatosensory feedback, using modules for data collection, evaluation, and parameter determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an unchanging braking program is used for all vehicles, then the braking system is simple to implement, but the braking effect and somatic sensation are poor due to different braking characteristics of each vehicle
Solution Approach 1:
The braking program transitions from a static, unchanging sequence to a dynamic, adjustable sequence that adapts to each vehicle's characteristics. The system dynamically modifies braking parameters based on real-time feedback from sensors and evaluation of braking effects, allowing the braking program to evolve and optimize performance for each specific vehicle.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where braking data is collected during the braking process, the braking effect is evaluated based on this data, and the braking program is adjusted accordingly. This feedback loop enables continuous optimization of the braking program to match each vehicle's unique characteristics while maintaining system complexity at an acceptable level.
2Reliability
If a human coach is used to guide and assist braking, then real-time judgment and assistance are provided, but the coach lacks energy for real-time judgment and cannot deal with certain situations in time
Solution Approach 1:
The braking system becomes self-sufficient by automatically collecting braking data, evaluating braking effects, and adjusting the braking program without requiring continuous human intervention. The system serves itself by making real-time decisions based on sensor data and pre-established evaluation criteria, eliminating the limitations of human energy and reaction time while maintaining high reliability.
Solution Approach 2:
The human coach's mechanical and physiological limitations are replaced by an electronic control system with sensors, processors, and actuators. This substitution enables instantaneous data collection, evaluation, and response without the energy constraints or reaction time delays that affect human coaches, while maintaining or improving braking assistance reliability.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The present disclosure provides a braking method and apparatus for a vehicle, an electronic device, a storage medium and a program product, and relates to the field of intelligent vehicles. The specific implementation solution includes: generating, in a case where a braking trigger signal is received, a first braking control signal according to a first braking parameter of the vehicle, wherein the first braking control signal is used to control a braking traction mechanism to draw a brake pedal according to the first braking parameter, to perform braking; collecting braking data of a current braking process; evaluating a braking effect of the current braking process according to the collected braking data; and determining whether to adjust the first braking parameter according to a result of the evaluating, wherein the determined first braking parameter is used for a next braking process of the vehicle. According to the technical solution of the present disclosure, the braking parameter of the vehicle can be automatically calibrated, thereby optimizing the braking effect and improving the user's somatic sensation.