Self-learning Regenerative Braking Control Module

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Solution Overview

Problem

Existing electric vehicles require manual adjustment of regenerative braking ratios, which can reduce driving comfort and distract the driver, as they do not adapt to individual driving behaviors.

Innovation Solution

A self-learning regenerative braking control module that determines driving modes based on accelerator and brake signals, calculates coasting duration and information, and adjusts regenerative braking data to generate a control signal for optimal energy regeneration, automatically adapting to the driver's behavior.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If manual adjustment of regenerative braking ratio is implemented, then energy regeneration can be controlled, but driver comfort deteriorates and driver distraction increases

Engineering Contradiction:

Improveenergy regenerationVSAvoiddriver comfort

Core Design Contradiction:

Loss of energyVSEase of operation

Solution Approach 1:

The system automatically determines driving modes and adjusts regenerative braking ratios without driver intervention. The control module autonomously analyzes accelerator and brake signals to identify coasting phases and automatically sets appropriate regenerative braking levels, eliminating the need for manual adjustment while maintaining energy regeneration efficiency

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors accelerator signal, brake signal, and vehicle speed to determine driving modes. Based on real-time feedback from these signals, the control module dynamically adjusts regenerative braking ratio, creating a closed-loop control system that adapts to driver behavior and road conditions

Inventive Principle:

Principle #23Feedback

2Loss of energy

If manual adjustment of regenerative braking ratio is implemented, then energy regeneration can be controlled, but driver distraction increases

Engineering Contradiction:

Improveenergy regenerationVSAvoiddriver distraction

Core Design Contradiction:

Loss of energyVSLoss of time

Solution Approach 1:

The system performs automatic driving mode determination and regenerative braking ratio adjustment without requiring driver attention. The control module independently processes accelerator and brake signals to identify coasting phases and automatically configures optimal regenerative braking parameters

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-determines driving modes by analyzing accelerator and brake signals before coasting phases occur. By anticipating coasting situations and pre-configuring appropriate regenerative braking ratios, the system eliminates the need for last-minute manual adjustments that would distract the driver

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS8718852B2Self-learning regenerative braking control module, controller, and vehicle using the same

Publication Date: 2014.05.06 AUTOMOTIVE RES & TESTING CENT

AI summary

A self-learning regenerative braking control module is adapted for use with a vehicle, and includes a driving mode determining unit, an analyzing unit, and a regenerative braking determining unit. The driving mode determining unit determines a driving mode according to an accelerator signal, a brake signal, and a speed signal from the vehicle and outputs a coasting duration and coasting information associated with the driving mode to the analyzing unit for obtaining acceleration information. The regenerative braking determining unit obtains target regenerative braking data containing target vehicle speeds that vary with time based upon the acceleration information and regenerative braking reference data stored therein.