Regenerative Braking Control for Ultra-Small Electric Vehicles
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Solution Overview
Problem
Ultra-small electric vehicles lack effective means to set regenerative braking values due to the absence of an ESC system, resulting in inefficiencies with fixed or predicted braking values based solely on brake pedal displacement.
Innovation Solution
A system comprising measurement units for brake pedal displacement, vehicle speed, and distance to an object, coupled with fuzzy logic algorithms to compute and set optimal regenerative braking values by converting these inputs into fuzzy variables and applying them to predefined inference rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed regenerative braking value is used in ultra-small electric vehicles without an ESC system, then the device complexity is reduced, but the power recovery efficiency deteriorates
Solution Approach 1:
The patent applies parameter changes by using fuzzy logic to dynamically adjust the regenerative braking value based on multiple input parameters (brake pedal displacement, vehicle speed, distance to object) rather than using a fixed value. This transforms the system from static to dynamic parameter control, resolving the contradiction between simplicity and efficiency
Solution Approach 2:
The patent replaces the mechanical ESC system (which measures brake force directly) with a computational system using fuzzy logic algorithms. This substitution maintains the ability to determine accurate regenerative braking values without requiring complex mechanical measurement equipment, thus reducing device complexity while preserving power recovery efficiency
2Device complexity
If a variable regenerative braking value based solely on brake pedal displacement prediction is used, then the device complexity is reduced, but the regenerative braking value setting accuracy deteriorates
Solution Approach 1:
The patent adds another dimension to the control system by incorporating distance to object (from ultrasonic sensors) as an additional input parameter alongside brake pedal displacement and vehicle speed. This multi-dimensional approach improves the accuracy of regenerative braking value setting without significantly increasing device complexity, as the distance parameter is obtained from existing sensor systems
3Loss of energy
If multiple measurement units and fuzzy logic algorithms are implemented to set regenerative braking value effectively, then the power recovery efficiency is improved, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing a control system that uses the same fuzzy logic algorithm framework for multiple functions: determining regenerative braking values, collision avoidance, and riding comfort optimization. This multi-functional approach improves power recovery efficiency while managing device complexity through a unified control architecture rather than separate systems for each function
Data Source
AI summary
A system and method for setting a regenerative braking value are disclosed. The disclosed system may include: a first measurement unit configured to measure the displacement information of a brake pedal of an electric vehicle; a second measurement unit configured to measure the speed of the electric vehicle; a third measurement unit configured to measure the distance from the electric vehicle to an object in front of the electric vehicle; a first computation unit configured to compute the brake force required for a deceleration of the electric vehicle by inputting the displacement information and the speed into a first fuzzy logic algorithm; and a second computation unit configured to compute the regenerative braking value by applying the brake force and the distance to the object to a second fuzzy logic algorithm.