Regenerative Braking Torque Control Using Road Scenario Prediction
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Solution Overview
Problem
Existing vehicle braking energy recovery systems have a low energy recovery rate due to passive recovery based on driver operations and battery/motor statuses, limiting the driving range of electric vehicles.
Innovation Solution
A method and apparatus that determine a vehicle's safe distance and speed based on current road scenarios using mapping relationships and weights, calculating target torque for proactive energy recovery through a motor control system, integrating self-perception, Internet of Vehicles data, and cloud data for optimized regenerative braking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If passive braking energy recovery based on driver operations and battery/motor statuses is used, then the system is simple to operate, but the braking energy recovery rate is low
Solution Approach 1:
The system performs preliminary actions by obtaining current location information, determining current road scenarios, and calculating safe distances and speeds before actual braking occurs. This proactive approach allows the motor to be pre-positioned for optimal energy recovery during braking events.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring location data, road scenario conditions, safe distance calculations, and safe speed determinations. This feedback loop enables dynamic adjustment of motor torque to maximize braking energy recovery while maintaining safety requirements.
2Use of energy by moving object
If proactive motor torque control based on road scenarios is implemented, then energy utilization is enhanced, but the control algorithm complexity increases
Solution Approach 1:
The system changes parameters by determining different safe distances and safe speeds based on current road scenarios. By adjusting these parameters according to location-based scenario classification, the system optimizes motor torque control for maximum energy utilization while adapting to varying road conditions.
Solution Approach 2:
The control algorithm is segmented into distinct functional modules: location information acquisition, road scenario determination, safe distance calculation, safe speed determination, and motor torque control. This segmentation manages complexity by organizing the control algorithm into manageable, independent components that can be developed and tuned separately.
3Measurement precision
If safe distance and speed calculations are performed based on multiple data sources, then the accuracy of energy recovery control improves, but the data processing complexity increases
Solution Approach 1:
The system merges multiple data sources including current location information, road scenario data, and safety parameters into a unified control framework. By combining these diverse data sources through the road scenario determination process, the system achieves high control accuracy for energy recovery while managing data processing through integrated analysis.
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
Improves braking energy recovery rate by proactively controlling motor torque based on safe distance and speed calculations, enhancing overall energy utilization and reducing sudden acceleration/deceleration, thus extending the driving range of electric vehicles.
Implementation Method 1
controlling, based on the target torque, a motor of the vehicle to recover braking energy
Data Source
AI summary
A vehicle braking energy recovering method includes obtaining current location information of a vehicle, determining a current road scenario based on the current location information of the vehicle, determining the current road scenario based on a mapping relationship between a road scenario and a weight, determining a safe distance and a safe speed of the vehicle based on the weight, determining a target torque based on the safe distance and the safe speed of the vehicle, and controlling, based on the target torque, a motor of the vehicle to recover braking energy.


