Eco-friendly Vehicle Charging Control Method
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Solution Overview
Problem
Drivers of eco-friendly vehicles face difficulties in determining the required amount of charge for their batteries due to limited information, especially when charging costs vary between stations and predicting energy needs based on driving distance.
Innovation Solution
A charging control method and system that acquires charging base information to determine a charging range with upper and lower limits, using available charging time and predicted remaining driving distance, and adjusts charging strategies between slow and quick charging based on these limits to optimize battery charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If maximum charging is attempted within permitted spare time, then charging speed is improved, but charging cost becomes unpredictable and may increase
Solution Approach 1:
The system performs preliminary actions by acquiring charging base information before charging begins, calculating both the upper charging limit (based on available time) and lower charging limit (based on predicted driving distance), and determining the optimal charging amount in advance. This preliminary calculation allows the system to select an optimal charging station and predict charging costs before actual charging occurs, resolving the contradiction between fast charging and cost predictability.
2Loss of information
If charging amount is limited to required amount only, then charging cost is controlled, but driver has difficulty determining required amount due to limited information
Solution Approach 1:
The system provides feedback by calculating and presenting the optimal charging amount to the driver based on multiple factors including predicted driving distance, battery capacity, and charging station information. The system feeds back this calculated optimal amount along with cost information, enabling the driver to make informed charging decisions without having to manually calculate or predict the required charging amount, thus resolving the contradiction between cost control and ease of operation.
3Adaptability or versatility
If driver manually determines charging amount, then charging strategy flexibility is maintained, but information insufficiency leads to suboptimal charging decisions
Solution Approach 1:
The system performs self-service by automatically acquiring charging base information, calculating the optimal charging amount based on predicted driving distance and battery characteristics, and determining the best charging strategy without requiring manual driver input. The system serves itself by gathering necessary information and making optimal charging decisions autonomously, while still allowing driver oversight, thus resolving the contradiction between adaptability and information sufficiency.
Data Source
AI summary
A charging control method of an eco-friendly vehicle for effectively determining an amount of charge of a battery for supplying power to a driving electric motor includes acquiring charging base information, determining a charging range depending on at least one of an upper charging limit or a lower charging limit using the acquired charging base information, and determining a target amount of charge within the determined charging range, wherein the determining of the charging range includes determining the upper charging limit based on an available charging time, and determining the lower charging limit based on a predicted remaining driving distance.