Regenerative Braking Torque Mapping for ICE-Like Deceleration Feel
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Solution Overview
Problem
Conventional electric vehicles perform regenerative braking with a fixed torque value, leading to sensitivity differences compared to internal combustion engine vehicles due to varying engine brake torque values based on gear ratios, which affects the driving experience.
Innovation Solution
A vehicle system that includes a driving state detector, storage for a map table of engine brake torque values, and a regenerative braking controller to adjust braking based on detected driving states, road type, and terrain, mimicking the sensitivity of internal combustion engine vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If regenerative braking is performed with a fixed torque value, then the control system is simple, but the sensitivity differs from internal combustion engine vehicles
Solution Approach 1:
The regenerative braking torque value is changed from fixed to dynamic, varying according to vehicle speed. The controller adjusts the torque value based on detected driving states (accelerator pedal position, brake pedal position, vehicle speed), making the braking sensitivity adaptable to different driving conditions while maintaining reasonable control system complexity.
2Adaptability or versatility
If regenerative braking uses varying torque values based on driving state, then braking sensitivity matches internal combustion engine vehicles, but the control system becomes more complex
Solution Approach 1:
The control system continuously detects driving states (accelerator pedal position, brake pedal position, vehicle speed) and uses this feedback to dynamically adjust the regenerative braking torque value. This feedback mechanism enables adaptive braking sensitivity that matches internal combustion engine vehicles while keeping the control logic systematic and manageable.
Solution Approach 2:
The regenerative braking controller integrates multiple functions: detecting various driving states, determining appropriate torque values based on speed and pedal positions, and coordinating with the drive motor controller. This multi-functional approach achieves adaptive braking without requiring separate complex systems for each function.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides a dynamic regenerative braking experience similar to internal combustion engine vehicles by adjusting torque values based on driving conditions, enhancing user sensitivity and reducing perceived differences.
Implementation Method 1
regenerative braking in which a battery is charged by converting kinetic energy into electrical energy using the electric motor while braking
Data Source
AI summary
A vehicle and a method of controlling the same includes a driving state detector configured to detect a driving state of an electric vehicle, a storage configured for storing a map table for engine brake torque values according to engine types and gear ratios of an internal combustion engine vehicle, a driver configured to drive the electric vehicle, and a regenerative braking controller electrically connected to the driving state detector, the storage and the driver and configured to control, based on the driving state of the electric vehicle detected by the driving state detector and the map table, the driver so that the electric vehicle performs regenerative braking based on each torque value.


