V2G Vehicle Selection Strategy for Battery Degradation Control
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Solution Overview
Problem
The existing vehicle-to-grid (V2G) systems face challenges in minimizing battery pack degradation in electric vehicles due to excessive charge and discharge cycling, which can lead to premature wear and warranty issues, and the increasing load on the power grid from electric vehicles may disrupt the electrical supply.
Innovation Solution
A method and system that prioritize V2G requests based on vehicle location and historical data to select vehicles that meet specific criteria, such as state of charge, charge cycles, and geographic proximity, to reduce battery degradation, involving a network with a server that determines eligible vehicles and sends signals for participation, thereby limiting V2G participation and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If V2G systems utilize excessive charge and discharge cycling of electric vehicle batteries to stabilize the power grid, then the power grid stability is improved, but the battery useable life is reduced and premature wear occurs
Solution Approach 1:
The system changes the parameter of V2G participation by selecting vehicles based on their state of charge, charge cycle history, and battery health metrics. Vehicles are selected or excluded from V2G programs based on whether their current charge/discharge parameters would exceed degradation thresholds, thus maintaining battery life while providing grid stability when safe.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring battery charge cycles, state of charge levels, and degradation patterns. This feedback informs the selection process, allowing the system to adjust which vehicles participate in V2G programs based on their real-time and historical battery performance data, preventing excessive cycling that would harm battery life.
2Reliability
If V2G systems charge more PHEVs from the power grid to provide distributed battery storage, then the grid buffering capability is improved, but the load on the power grid increases and may disrupt electrical supply
Solution Approach 1:
The system applies partial action by selecting only a subset of vehicles for V2G participation based on specific criteria rather than charging all available PHEVs. This selective approach provides sufficient distributed storage capacity to support grid buffering while limiting the total load increase on the power grid to manageable levels.
Solution Approach 2:
The system applies local quality by considering geographic clustering of PHEVs and selecting vehicles in specific regions for V2G participation. This distributed selective approach provides localized grid support where needed while spreading the load impact across different geographic areas, preventing excessive concentration of charging demand in single locations.
3Power
If V2G systems send discharge requests to all available PHEVs to provide power back to the grid during high-peak times, then the peak load stabilization is improved, but the battery stress increases and life cycle is reduced
Solution Approach 1:
The system changes the selection parameters for V2G discharge requests by evaluating each vehicle's battery health status, charge cycle history, state of charge level, and degradation patterns. Only vehicles whose discharge participation would not push them beyond safe operational thresholds are selected, enabling peak load stabilization while preserving battery life cycles.
Solution Approach 2:
The system uses feedback from historical battery performance data and real-time vehicle status to determine which vehicles should receive discharge requests. This feedback mechanism ensures that discharge requests are sent only to vehicles capable of handling the stress without significant degradation, maintaining both grid support capability and battery reliability.
Data Source
AI summary
A method for sending a vehicle-to-grid (V2G) request that includes receiving a V2G request for a specific geographical region; determining which of a plurality of vehicles are in the specific geographic region; determining a subset of the plurality of vehicles located in the specific geographic region that meet at least one criteria to join the V2G request, wherein the at least one criteria uses historical data of the plurality of vehicles to reduce battery degradation of the plurality of vehicles; and sending a signal to the subset of the plurality of vehicles to join the V2G request.