xEV Regenerative Braking Control Using Driving Recognition
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Solution Overview
Problem
Conventional regenerative braking technologies in xEV vehicles fail to efficiently recover maximum regenerative braking energy due to neglect of actual driving situations and inconsistent driving patterns.
Innovation Solution
A driving recognition-based regenerative braking control method that utilizes preceding vehicle sensing and driving position information to optimize regenerative braking by adjusting the regenerative braking system's operation based on sensed distances, braking distances, road conditions, and vehicle position, employing sensors like radar and LiDAR for vehicle detection and GPS/IMU for position determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional regenerative braking technology is used, then the system structure is simple, but the regenerative braking energy recovery efficiency is low due to neglect of actual driving situations
Solution Approach 1:
The system performs preliminary sensing of preceding vehicle presence and driving position (uphill/downhill/flat) before executing regenerative braking. This advance detection allows the control unit to pre-calculate optimal regenerative braking values based on predicted energy recovery opportunities, maximizing energy recovery before the braking event occurs.
Solution Approach 2:
The regenerative braking value is dynamically adjusted based on real-time driving conditions including preceding vehicle distance, driving position, and brake pedal input. The control unit continuously modifies the regenerative braking force to match actual driving situations, optimizing energy recovery while maintaining safety and comfort.
2Loss of energy
If regenerative braking is increased to maximize energy recovery, then energy efficiency improves, but driving comfort and safety may deteriorate due to excessive braking force
Solution Approach 1:
The system applies different regenerative braking strategies to different driving scenarios. For example, milder regenerative braking is applied when a preceding vehicle is detected to maintain safety margins, while stronger regenerative braking is applied on uphill sections where energy recovery opportunities are greater and safety constraints are reduced. This localized optimization balances energy recovery with driving comfort.
Solution Approach 2:
The control unit calculates a default regenerative braking value and then applies partial action by adjusting this value based on driving conditions. When conditions are favorable (no preceding vehicle, uphill position), the system applies excessive action by increasing regenerative braking beyond the default to maximize energy recovery. When conditions are constrained (preceding vehicle present), partial action is taken by applying only the default or reduced regenerative braking to maintain comfort.
3Loss of energy
If regenerative braking is applied without considering driving position, then the control logic is simple, but energy recovery is suboptimal on uphill roads where maximum energy can be recovered
Solution Approach 1:
The control unit integrates multiple sensing functions (preceding vehicle detection, driving position determination via GPS/IMU, brake pedal input detection) into a single multi-functional control system. This universal controller processes all inputs and generates optimized regenerative braking commands, eliminating the need for separate control systems for each function and managing complexity through integration.
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
This method increases the amount of electric energy generated through regenerative braking by considering various driving variables, optimizing energy recovery and maximizing battery charging, while preventing overcharging.
Implementation Method 1
a regenerative braking technology has a problem in that an actual driving situation is not considered and thus the regenerative braking energy is not more efficiently recovered
Implementation Method 2
sensing a preceding vehicle when a brake signal is applied
Implementation Method 3
sensing a preceding vehicle when a brake signal is applied
Data Source
AI summary
A driving recognition-based regenerative braking control method of an xEV vehicle according to an embodiment of the present invention relates to a driving recognition-based regenerative braking control method of an xEV vehicle which optimally adjusts an amount of regenerative braking using preceding vehicle sensing and driving position information.