Dynamic SOC Limit Adjustment for EV Charging
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Solution Overview
Problem
Electric vehicle charging systems face inefficiencies due to uncertainty in charging time, leading to idle penalties and fees, as users often underestimate the time required for charging, causing vehicles to occupy charging stations longer than necessary after reaching the predetermined State of Charge (SOC) limit.
Innovation Solution
A system that adjusts the SOC limit based on the user's estimated arrival time, calculated using their current location and schedule, allowing the charging station to provide an adjusted amount of charge, thereby avoiding idle penalties and optimizing charging time according to the user's availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the charging station provides charge based on a predetermined SOC limit, then the charging process is simple and straightforward, but the vehicle may occupy the charging station longer than necessary after reaching the required charge level, leading to idle penalties and fees
Solution Approach 1:
The system performs preliminary actions by estimating the user's arrival time before charging completes and proactively adjusting the SOC limit to ensure the vehicle is ready by the estimated arrival time. This prevents unnecessary extended occupancy at the charging station while maintaining user convenience.
2Device complexity
If the charging station uses a fixed predetermined SOC limit, then the charging control is simple, but it cannot adapt to varying user schedules and arrival times, resulting in inefficient charging resource utilization
Solution Approach 1:
The system transforms the static predetermined SOC limit into a dynamic adjusted SOC limit that automatically adapts to varying user schedules and arrival times. The recognition module continuously monitors user location and estimates arrival time, dynamically adjusting the charging target to optimize charging station utilization while maintaining simple operational control.
3Productivity
If the system provides personalized SOC limits based on user location and arrival time estimation, then charging efficiency and resource utilization improve, but the system complexity and computational requirements increase
Solution Approach 1:
The system implements self-service by automatically tracking user location via mobile device GPS, estimating arrival time based on location data, and autonomously adjusting the SOC limit without requiring user input or complex manual calculations. This reduces perceived system complexity for the user while maintaining high charging efficiency.
Data Source
AI summary
Systems and methods for providing an adjusted SOC limit are provided. In one embodiment, a system may include a recognition module, a position module, a charge state module, and a charging module. The recognition module is configured to identify a vehicle to receive a charge from a charging station. The position module is configured to determine a parked period when the vehicle will be present at the charging station based on a schedule. The charge state module is configured to calculate the adjusted SOC limit based on the parked period. The charge rate defines a charge period that is an amount of time that the charging station will provide charge to the vehicle. The adjusted SOC limit is calculated to reduce a time difference between the parked period and the charge period. The charging module is configured to set the adjusted SOC limit.