Coasting Regeneration Control Using Environmental Artifact Detection
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Solution Overview
Problem
Conventional electrified vehicles do not consider surrounding environmental artifacts during regenerative braking, leading to inefficient coast down conditions that require driver intervention.
Innovation Solution
A system and method that utilizes sensors to gather dynamic and static environmental data to dynamically adjust coasting regeneration, determining an optimal deceleration rate based on artifacts like moving objects and road signs, and modulating regenerative braking torque accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional regenerative braking applies minimum torque as a function of vehicle velocity, then energy regeneration is achieved, but driveability deteriorates due to inefficient coast down conditions requiring driver intervention
Solution Approach 1:
The system dynamically adjusts the regenerative braking torque by varying the deceleration rate based on real-time environmental conditions detected by sensors. Instead of applying a fixed minimum torque based solely on vehicle velocity, the controller modulates the torque request to the electrified powertrain according to detected artifacts such as moving objects, road signs, intersections, and slope conditions, thereby optimizing both energy regeneration and driveability
Solution Approach 2:
The system implements a feedback mechanism where sensors continuously detect environmental artifacts and provide information to the controller. The controller processes this information and adjusts the regenerative braking torque accordingly, creating a closed-loop control system that responds to changing conditions. This feedback enables the system to anticipate required deceleration and adjust coasting behavior proactively
2Productivity
If sensors and environmental detection systems are added to adjust coasting regeneration, then driveability and energy efficiency are improved, but device complexity increases
Solution Approach 1:
The system employs a multi-functional controller that integrates environmental artifact detection processing, deceleration rate determination, and torque request generation. The same controller that manages the electrified powertrain also processes sensor data from cameras, radar, and GPS to determine optimal coasting behavior, eliminating the need for separate dedicated control units and reducing overall system complexity
Solution Approach 2:
The system performs preliminary detection and analysis of environmental artifacts before executing coasting maneuvers. By using GPS to pre-identify upcoming intersections, road signs, and slope changes, and using cameras and radar to detect moving objects in advance, the system can proactively determine appropriate deceleration rates and prepare torque requests, reducing the need for complex real-time reaction systems
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 driveability and energy efficiency by intelligently managing energy regeneration based on environmental conditions, ensuring smooth vehicle deceleration without driver input.
Implementation Method 1
an electric motor that provides drive torque to a driveline
Implementation Method 2
the electric motor further providing regenerative braking energy to a battery system during a deceleration event
Data Source
AI summary
A system that implements a dynamically adjusting coasting regeneration for an electrified vehicle includes an electrified powertrain, first and second sensors and a controller. The electrified powertrain includes an electric motor that provides drive torque to a driveline, the electric motor further providing regenerative braking energy to a battery system during a deceleration event. The first and second sensors sense dynamic, static and pseudo-static artifact data. The controller is configured to receive signals from the first and second sensors; determine first candidate deceleration rates based on the first signal; determine second candidate deceleration rates based on the second signal; select a preferred deceleration rate from the first and second candidate deceleration rates; and provide a torque request to the electrified powertrain indicative of the preferred deceleration rate.