Regenerative Braking Control Using Environmental Sensing
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Solution Overview
Problem
Existing driving assistance systems fail to effectively control regenerative braking based on environmental and traffic conditions, leading to inefficiencies and potential safety hazards.
Innovation Solution
A driving assistance apparatus and method that utilizes a camera, radar, and lidar to gather environmental data, processing it to control regenerative braking through coasting torque adjustments based on obstacles, traffic signals, and infrastructure, ensuring safe and efficient vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regenerative braking is controlled based on basic pedal position only, then system simplicity is maintained, but safety and energy recovery efficiency deteriorate due to inability to respond to environmental conditions
Solution Approach 1:
The patent combines multiple sensor systems (camera, radar, lidar) with the existing regenerative braking control system to create an integrated environmental awareness system. This merging allows the system to process environmental data alongside pedal position information, enabling safety improvements without requiring a completely new control architecture.
Solution Approach 2:
The control system is designed to perform multiple functions: it processes basic pedal position signals for normal operation, simultaneously processes environmental data from multiple sensors, and dynamically adjusts regenerative braking based on both inputs. This multi-functionality allows a single system to handle both simple and complex control scenarios.
2Use of energy by moving object
If regenerative braking control considers environmental conditions and traffic infrastructure, then energy recovery efficiency improves, but system complexity and processing requirements worsen
Solution Approach 1:
The system performs preliminary processing of environmental data by having dedicated sensor systems (camera, radar, lidar) continuously scan and identify objects, traffic signals, and infrastructure before braking decisions are needed. This preliminary action prepares environmental context information in advance, so when regenerative braking control is needed, the processing burden is reduced.
Solution Approach 2:
The system implements feedback loops where environmental sensor data continuously informs regenerative braking control decisions. The control system receives feedback about detected objects, traffic signals, and road conditions, and dynamically adjusts energy recovery efficiency based on this feedback, optimizing both energy recovery and safety.
3Reliability
If coasting torque is increased dynamically based on image data, then collision avoidance capability improves, but risk of unexpected braking and driver discomfort increases
Solution Approach 1:
The system dynamically adjusts coasting torque based on real-time environmental conditions detected by image processing. Rather than using fixed torque values, the control system varies the torque application based on detected objects, their distance, relative speed, and predicted collision risk. This dynamic adjustment allows optimal collision avoidance while adapting to different driving scenarios.
Solution Approach 2:
The system uses an intermediary processing layer that analyzes image data, determines collision risk, and translates this into appropriate torque commands. This intermediary layer acts as a mediator between the environmental sensors and the braking system, ensuring that torque application is both effective for collision avoidance and smooth enough to minimize driver discomfort.
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
Enhances safety and efficiency by dynamically controlling regenerative braking to avoid collisions, adhere to traffic regulations, and optimize energy recovery.
Implementation Method 1
energy can be recovered using the driving motor and the battery during the braking of the vehicle. As such, braking a vehicle by converting the kinetic energy of the vehicle into electrical energy is called 'regenerative braking'.
Data Source
AI summary
A driving assistance apparatus can include a camera associated with a vehicle and configured to generate image data around the vehicle and a processor configured to process the image data. The processor may be configured to obtain information on a position of an accelerator pedal of the vehicle and information on a position of a brake pedal of the vehicle and increase a coasting torque for regenerative braking in a driving device of the vehicle on the basis of the image data when the accelerator pedal is located at its original position and the brake pedal is located at its original position.