EV Charging Control Module Optimizing Grid Rate Scheduling
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Solution Overview
Problem
Existing electric vehicle charging systems do not optimize battery charging times based on power rates, leading to increased energy consumption and inefficiency in the national grid or decentralized power supply.
Innovation Solution
A charging apparatus and method that communicate with a smart grid to determine the lowest charging power rate within a predetermined time range, allowing users to select from eco-charging, fast charging, or smart charging modes, and control the charging process to minimize energy costs by charging during periods of low power rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electric vehicles charge batteries immediately upon connection regardless of power rates, then charging convenience is improved, but energy cost increases and grid efficiency deteriorates
Solution Approach 1:
The charging control module performs preliminary analysis of power rate information before initiating charging. It receives power rate data from the smart grid, predicts future power rates within a predetermined time range, and determines the optimal charging schedule in advance, thereby avoiding immediate charging at potentially high power rates while maintaining user convenience through automated scheduling
Solution Approach 2:
The system implements a feedback mechanism where the charging control module continuously monitors actual power rates during charging operations, compares them with predicted rates, and adjusts the charging schedule accordingly. This feedback loop enables the system to learn from actual grid conditions and optimize future charging decisions to minimize energy costs
2Productivity
If more power is used during peak periods, then immediate charging demand is satisfied, but additional power generation equipment is required and energy efficiency decreases
Solution Approach 1:
The system employs periodic charging action by scheduling charging operations during off-peak periods when power rates are low. The charging control module divides the predetermined time range into multiple time periods, identifies periods with low power rates, and concentrates charging activity during these optimal windows, thereby reducing the need for additional power generation equipment during peak periods and improving overall energy efficiency
3Loss of energy
If charging is delayed to achieve lower power rates, then energy cost is reduced, but charging time increases
Solution Approach 1:
The system implements dynamic charging schedule adjustment by continuously monitoring power rate fluctuations and modifying the charging plan in real-time. The charging control module can accelerate charging when low power rate periods are identified sooner than expected, or extend charging duration when optimal periods are further away, thereby dynamically balancing cost reduction with time constraints based on actual grid conditions and user needs
Data Source
AI summary
Disclosed are a charging apparatus and a charging method for a battery of an electric vehicle. The charging apparatus for a battery of an electric vehicle includes: a communication module that communicates power information and information on a battery of the electric vehicle; a charging mode setting module that receives a user's order; a charging switch that connects the battery of the electric vehicle with the charging power in accordance with an input control signal; and a charging control module that sets the charging amount of the battery by using the power information and the information on the battery, sets charging information including charging power and at least one time period for charging the battery of the electric vehicle within a predetermined time range, and input the control signal to the charging switch on the basis of the charging information.