Dynamic Charging Voltage Control for Electric Vehicle Battery Life
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Solution Overview
Problem
Existing electric vehicle charging systems lack the ability to dynamically adjust charging based on the operator's selected range, leading to inefficient energy consumption and potential capacity loss in rechargeable energy storage units.
Innovation Solution
A system and method that utilizes a controller with a processor and memory to determine the required energy consumption and charging voltage based on the operator's selected range, driving model, and charging unit parameters, allowing for adjustable charging strengths and displaying estimated charging time, thereby optimizing the charging process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the rechargeable energy storage unit is charged to maximum voltage continuously, then the energy capacity is maximized, but the life of the energy storage unit deteriorates due to capacity loss
Solution Approach 1:
The charging system dynamically adjusts the target voltage based on the operator's selected range and driving model rather than continuously charging to maximum voltage. The controller modifies charging parameters in real-time to balance energy capacity accumulation with energy storage unit life preservation, implementing a dynamic charging strategy that adapts to actual operational needs.
Solution Approach 2:
The system changes the charging voltage parameter based on the selected range and driving model. Instead of using a fixed maximum voltage, the controller adjusts the target voltage parameter to optimize both energy capacity and energy storage unit longevity, implementing parameter-based charging control.
2Productivity
If the charging strength is increased to reduce charging time, then the productivity is improved, but the energy consumption increases and may cause capacity loss
Solution Approach 1:
The charging strength is adjusted dynamically based on the selected range and driving model. The controller selects appropriate charging strengths (first, second, or third) to optimize charging speed while minimizing energy consumption and preventing capacity loss, implementing a dynamic charging strength selection strategy.
Solution Approach 2:
The system applies partial charging action by charging to a target voltage corresponding to the selected range rather than always charging to maximum capacity. This partial charging approach reduces unnecessary energy consumption and prevents capacity loss while still meeting the operator's range requirements.
3Ease of manufacture
If the charging system uses fixed maximum voltage charging, then the manufacturing precision is simple, but the adaptability to different operator needs deteriorates
Solution Approach 1:
The charging system transitions from fixed maximum voltage to dynamic target voltage adjustment based on selected range and driving model. The controller adapts charging parameters in real-time to meet different operator needs while maintaining reasonable system complexity through algorithmic control.
Solution Approach 2:
The system changes the target voltage parameter based on operator-selected range and driving model characteristics. This parameter-based adaptation allows the charging system to accommodate diverse operator needs without requiring complex hardware modifications.
4Adaptability or versatility
If the controller requests operator input for selected range, then the adaptability to operator needs is improved, but the ease of operation increases due to additional steps
Solution Approach 1:
The operator serves themselves by selecting their desired range and driving model preferences through the user interface. This self-service approach allows customization to operator needs while maintaining ease of operation through intuitive selection rather than complex control procedures.
Data Source
AI summary
Disclosed herein are a system and method of selecting range for an electric device having a rechargeable energy storage unit. The system includes a controller having a processor and tangible, non-transitory memory on which is recorded instructions. A charging unit is configured to charge the rechargeable energy storage unit when plugged to the charging unit. An operator is requested to enter a selected range for the electric device. The controller is configured to determine if the selected range is less than a predetermined maximum range. If the selected range is less than the predetermined maximum range, the selected range is converted to a selected energy consumption based on a driving model of the operator. A target voltage is determined based on the selected energy consumption and predetermined parameters of the charging unit. The rechargeable energy storage unit is charged to the target voltage, via the charging unit.