EV Utility Program Prioritization Using Charging Viability Metrics
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Solution Overview
Problem
Original Equipment Manufacturers (OEMs) of electric vehicles face challenges in participating in demand response programs due to lack of information and unclear systems for making informed decisions, leading to potential missed cost savings and environmental benefits.
Innovation Solution
A system for prioritizing utility programs that receives proposals from electric utilities, determines statistical information about vehicle operational statistics, user charging preferences, and cost information, and computes a viability metric to assist EV-OEMs in accepting or rejecting program participation based on a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If EV-OEMs participate in demand response programs without adequate information systems, then grid load management is improved, but decision-making quality deteriorates due to lack of information
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between EV-OEMs and utility companies. This system collects, processes, and analyzes operational data, charging preferences, and cost information, then presents processed insights to EV-OEMs. The intermediary transforms raw data into actionable intelligence, enabling informed participation in demand response programs while maintaining grid management effectiveness.
2Object-generated harmful factors
If EV-OEMs join demand response programs based on insufficient data, then environmental benefits are improved, but economic viability deteriorates due to inability to assess cost savings
Solution Approach 1:
The system implements feedback mechanisms that provide EV-OEMs with quantitative metrics about potential cost savings, operational impacts, and program viability. By analyzing historical data and simulating different participation scenarios, the system feeds back reliable economic projections to OEMs, enabling them to make economically sound decisions while achieving environmental benefits through informed participation in demand response programs.
3Ease of operation
If a comprehensive information system is implemented to support decision-making, then decision quality is improved, but system complexity increases
Solution Approach 1:
The patent segments the information system into distinct functional modules: data collection components that gather operational statistics and charging preferences, processing components that analyze the collected data, and presentation components that display results and recommendations. This segmentation allows each module to be developed and maintained independently, reducing overall system complexity while providing comprehensive decision-support capabilities.
Data Source
AI summary
A system and method for prioritizing utility programs for open vehicle grid integration platform is disclosed. The system receives, from a server, a proposal for an Electric Vehicle Original Equipment Manufacturer (EV-OEM) to participate in a utility program of an electric utility. The system determines statistical information that includes at least one of operational statistics associated with vehicles that are associated with the EV-OEM and require charging services of the electric utility, charging preferences of the users of the vehicles, and cost information associated with the utility program. Thereafter the system computes a metric that indicates a viability of the utility program for the EV-OEM based on contents of the proposal and the statistical information, and transmits, to the server, a message that includes an acceptance of the proposal or a rejection of the proposal based on whether the metric is above a threshold.