EV Charging Station V1G V2G Selection
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Solution Overview
Problem
Traditional demand response methods for utilities face limitations in adjusting power demand, as they rely on expensive and slow-responding generation units, and demand response attempts to shift consumer power usage rather than supply.
Innovation Solution
A system and method for electric vehicle (EV) charging station that coordinates EV charging timing, power, or location with the electrical grid (V1G) or vehicle-to-grid (V2G) bidirectional power flow, using a processor and memory to select between V1G and V2G based on EV profiles, charge cycles, anticipated trips, and utility preferences, facilitating smart charging and load management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional demand response methods adjust power supply by throttling generation units, then power supply can be matched to demand, but the response time is slow and operating costs are high
Solution Approach 1:
Instead of adjusting power supply to match demand (traditional approach), the patent inverts the approach by adjusting power demand to match supply. EV charging loads are dynamically controlled to align with grid generation capacity and pricing signals, transforming consumers into active participants in demand management rather than passive recipients of supply adjustments
Solution Approach 2:
The system enables self-service by using automated algorithms to manage EV charging schedules based on real-time grid conditions, pricing signals, and user preferences. The charge controller autonomously makes decisions about when and how to charge batteries without requiring manual intervention, reducing the need for expensive human-operated generation unit adjustments
2Ease of operation
If EV charging is optimized for user convenience with frequent charging cycles, then user satisfaction improves, but battery wear increases
Solution Approach 1:
The system dynamically changes charging parameters (rate, timing, duration) based on battery state of charge, temperature, and predicted usage patterns. By adjusting these parameters intelligently, the system maintains user convenience while preventing excessive battery cycling and extending battery lifespan through optimized charge/discharge schedules
3Adaptability or versatility
If V2G bidirectional power flow is implemented to provide grid services, then demand response capability improves, but system complexity increases
Solution Approach 1:
The EV battery system serves multiple functions: it acts as both a power consumer (charging from grid) and a power source (discharging to grid via V2G), while also providing ancillary services like frequency regulation and voltage support. This multi-functionality enables comprehensive demand response capability within a single integrated system framework
Data Source
AI summary
According to one aspect, a charging station or a system for adjustment of electric vehicle (EV) charging timing, power, or location in coordination with the electrical grid (V1G) or vehicle to grid bidirectional power flow (V2G) selection may include a memory, a processor, and a charge controller or controller. The memory may receive a profile associated with an electric vehicle (EV). The profile may be indicative of a V1G/V2G charging schedule preference for the EV. The processor may determine a presence of the EV and the charge controller may control charging of a battery of the EV by selecting V1G or V2G based on the profile and in accordance with the V1G/V2G charging schedule preference.