Regenerative Braking Control for EV Battery Charging Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electric vehicles face inefficiencies in regenerative braking due to repeated driving and regeneration cycles, which decrease overall energy efficiency.
Innovation Solution
A vehicle system that determines an optimal regenerative braking level based on vehicle information such as battery charging state, temperature, input braking command frequency, and driving history data, as well as road information like condition and slope, using a controller and communication with a server to adjust the braking level for improved energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If regenerative braking is frequently applied to recover energy, then energy recovery increases, but overall energy efficiency decreases due to inverter, motor, and battery efficiency losses
Solution Approach 1:
The system dynamically changes the regenerative braking level parameter based on multiple conditions including battery charging state, temperature, input frequency of braking commands, and road information. By adjusting this parameter adaptively rather than applying fixed regenerative braking, the system optimizes the balance between energy recovery and overall energy efficiency
Solution Approach 2:
The controller receives feedback from various sensors monitoring battery state, temperature, braking command frequency, and road conditions. This feedback loop enables the system to determine the optimal regenerative braking level in real-time, preventing unnecessary regeneration cycles that would reduce overall energy efficiency while still capturing useful energy when conditions are favorable
2Productivity
If the regenerative braking level is increased to maximize energy recovery, then charging efficiency improves, but driving comfort and stability deteriorate due to excessive deceleration
Solution Approach 1:
The regenerative braking level is made dynamic rather than fixed, allowing the system to adjust the braking force according to real-time conditions. This dynamic adjustment ensures that regenerative braking is applied at optimal levels that balance charging efficiency with maintaining smooth and comfortable vehicle deceleration
Solution Approach 2:
The system applies different regenerative braking levels in different driving situations and locations. By considering road information and driving patterns, the controller applies stronger regenerative braking when it benefits charging efficiency without compromising comfort, and reduces or eliminates it when comfort or stability would be adversely affected
3Loss of energy
If regenerative braking is applied without considering driving patterns, then energy recovery occurs, but unnecessary deceleration and hydraulic braking increase reducing efficiency
Solution Approach 1:
The system performs preliminary analysis of driving patterns by monitoring the input frequency of braking commands and referencing stored driving history data. This preliminary understanding of driver behavior allows the controller to predict when regenerative braking would be beneficial versus when it would cause unnecessary deceleration followed by hydraulic braking, thereby avoiding energy-wasting cycles
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
The system enhances energy efficiency by optimizing regenerative braking levels according to driving conditions, reducing unnecessary deceleration and hydraulic braking, thereby improving the overall energy recovery and usage in electric vehicles.
Implementation Method 1
Electric vehicle may use a motor as a generator during braking to convert kinetic energy into electric energy
Data Source
AI summary
The present disclosure to provides a vehicle capable of efficiently charging electric energy by determining a regenerative braking control improved for a driving situation in which the vehicle is driving, and a control method thereof.The vehicle includes: a power supply including a battery; a motor driven by receiving power from the battery; and a controller configured to determine a vehicle information including a charging state information of the battery, a temperature information of the battery, an input frequency of a braking command, and a driving history data, to determine a road information including a road condition information and a slope information of the road, to charge the battery by determining a regenerative braking level of the motor based on the vehicle information or the road information.