EV Charging Time Estimation Using Dynamic Mode Parameter Adjustment
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Solution Overview
Problem
Current methods for estimating the remaining charging time in direct current charging are inaccurate, leading to user dissatisfaction due to short charging times and the inability to effectively plan activities during the charging process.
Innovation Solution
A method and apparatus that calculate the remaining charging time by recognizing and adjusting parameters based on different charging modes, including dynamic change modes, underpower modes, failure modes, and high-power load conditions, using specific formulas to sum the charging time across various stages, ensuring accurate estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a simple charging time estimation method is used, then the calculation process is simple, but the accuracy of remaining time estimation is poor
Solution Approach 1:
The charging process is divided into multiple charging stages based on SOC intervals. Each stage has its own charging characteristics and time estimation parameters. By segmenting the charging process, the system can apply different estimation methods to different stages, improving overall accuracy without requiring a single complex model.
Solution Approach 2:
The charging current and time estimation parameters are dynamically adjusted based on the current charging stage and actual charging conditions. The system transitions from static estimation to dynamic adaptation, where parameters like charging current, SOC thresholds, and time coefficients are updated in real-time to match the current charging state.
2Productivity
If charging time is shortened through fast charging, then charging efficiency is improved, but estimation accuracy deteriorates due to complex charging modes
Solution Approach 1:
The system changes parameters such as SOC thresholds, charging current coefficients, and time estimation factors based on different charging modes (AC/DC, fast/slow charging). By adapting parameters to match the specific charging mode, the system maintains high estimation accuracy even when charging efficiency varies significantly.
Solution Approach 2:
The system continuously monitors actual charging current, SOC changes, and charging stage transitions, then uses this feedback to adjust time estimation parameters. This closed-loop approach allows the system to compensate for deviations caused by different charging modes and maintain accurate predictions throughout the charging process.
3Adaptability or versatility
If multiple charging modes are supported, then adaptability is improved, but the complexity of time estimation increases
Solution Approach 1:
The time estimation system is designed to handle multiple charging modes (AC charging, DC fast charging, different power levels) through a unified framework. By establishing universal charging stages and common estimation algorithms that work across different modes, the system achieves multi-functionality without proportionally increasing complexity.
Solution Approach 2:
The system dynamically identifies the current charging mode and automatically adjusts estimation parameters accordingly. Rather than maintaining separate complex models for each mode, the system uses dynamic parameter adjustment within a single flexible framework, reducing overall system complexity while maintaining adaptability.
Data Source
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AI summary
An embodiment of the present disclosure relates to a method and apparatus for calculating remaining time of charging, and a storage medium. The method includes: obtaining a charging mode, adjusting at least one charging parameter based on the charging mode, and calculating remaining time of charging based on the at least one adjusted charging parameter. In an embodiment of the present disclosure, a plurality of charging modes is recognized, and at least one parameter is adjusted in accordance with different modes to calculate the remaining time of charging, such that a calculation result of the remaining time of the charging is more accurate.