One-Pedal Regenerative Braking Control for High-Speed Driving
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Solution Overview
Problem
Drivers of regenerative braking vehicles struggle to master one-pedal driving, especially at higher speeds, due to uncertainty about when to apply regenerative braking and how much pressure to use, leading to inefficiencies and safety concerns.
Innovation Solution
A processor-based system in the vehicle detects driving contexts and monitors the regenerative battery system, automatically adjusting the regenerative intensity to optimize vehicle control and battery charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If drivers manually control regenerative braking in one-pedal driving mode, then the vehicle can recharge the battery system, but drivers struggle to master the skill especially at higher speeds leading to safety concerns and inefficiencies
Solution Approach 1:
The system enables the vehicle to automatically manage regenerative braking without requiring driver intervention. The processor monitors driving conditions and battery state, then autonomously applies regenerative braking to recharge the battery while maintaining safe operation, eliminating the need for drivers to manually master this skill.
Solution Approach 2:
The system continuously monitors multiple parameters including driving speed, battery charge state, and road conditions, then uses this feedback to dynamically adjust regenerative braking intensity. This closed-loop control ensures optimal energy recovery while maintaining safety margins, particularly at higher speeds where manual control is difficult.
2Use of energy by moving object
If drivers apply regenerative braking at higher speeds, then energy can be recovered, but it is very difficult to master after many months of driving
Solution Approach 1:
The system replaces the need for manual driver skill with an automated electronic control system. The processor executes algorithms that determine optimal regenerative braking application based on sensor data, substituting complex manual skill acquisition with automated decision-making that immediately operates at expert levels.
Solution Approach 2:
The vehicle system independently manages the complex task of high-speed regenerative braking without requiring driver learning or intervention. The system monitors its own state and external conditions, then self-regulates the braking force to maximize energy recovery while maintaining safety, making the advanced skill immediately available without training.
3Productivity
If automated systems adjust regenerative intensity, then driving efficiency and safety are enhanced, but the system complexity increases
Solution Approach 1:
The system uses a single processor that performs multiple functions: monitoring driving conditions, assessing battery state, calculating optimal regenerative braking force, and controlling the braking system. This multi-functional approach achieves automated regenerative braking management without requiring separate dedicated systems for each function, thereby limiting the increase in overall system complexity.
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 driving efficiency, safety, and comfort by providing optimal regenerative braking assistance, allowing drivers to adapt to one-pedal driving more quickly and reducing errors.
Implementation Method 1
One-pedal driving typically uses a regenerative braking system to slow the vehicle as well as to regenerate electricity
Data Source
AI summary
Apparatuses, methods, systems, and program products for regenerative braking vehicles are provided. An apparatus includes a processor in a regenerative braking vehicle that has a one-pedal control and a memory connected to the processor that stores code executable by the processor to detect a driving context, monitor a regenerative battery system of the vehicle, and automatically adjust a regenerative intensity based at least in part upon the driving context and the regenerative battery system.