EV Charging Capacity Allocation Using Urgency-Based Bidding
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Solution Overview
Problem
Existing electric vehicle charging strategies do not consider the urgency of users in allocating charging power, leading to unfair distribution during high demand times.
Innovation Solution
A charging management system and EV agents that determine charging power allocation based on user urgency and bids, including agent monetary value and desired charging rate, to optimize power distribution among multiple EVs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If charge curtailment strategies are implemented to allocate available power among multiple EVs, then power distribution is achieved, but user urgency requirements are not considered leading to unfair allocation
Solution Approach 1:
The patent transforms the charging allocation problem by changing the parameter space from simple power distribution to a multi-dimensional optimization involving user urgency levels, bid prices, and charging rates. The system accepts urgency values and bid prices as input parameters, then determines optimal charging allocations based on these changed parameters, resolving the contradiction between efficient power use and user-specific requirements.
Solution Approach 2:
The system implements dynamic charging allocation where the power distribution is not fixed but adjusts continuously based on real-time user urgency inputs and bid prices. The charging management system processes changing parameters (urgency values, bid prices) to dynamically determine charging allocations, allowing the system to adapt to varying user needs while maintaining overall efficiency.
2Device complexity
If charging power is distributed equally among EVs, then simple allocation is achieved, but power wastage occurs during peak demand
Solution Approach 1:
The patent implements a feedback mechanism where the charging management system receives bid prices and urgency values from users, processes this feedback information, and adjusts power allocation accordingly. The system uses the returned charging allocations as feedback to optimize power distribution, preventing wastage by directing power to users with highest urgency and appropriate bids, rather than equal distribution.
Solution Approach 2:
The system changes the allocation parameters from uniform power distribution to differentiated allocation based on bid prices and urgency values. By introducing these additional parameters, the system optimizes power utilization during peak demand, allocating power to those who value it most highly while maintaining system simplicity through automated processing.
3Ease of operation
If charging allocation considers user urgency and bid prices, then fair distribution is achieved, but system complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where users themselves provide the urgency values and bid prices that determine their charging allocations. Rather than the system needing complex external data sources, users directly input their own preferences and willingness to pay, allowing fair distribution based on user-provided parameters while keeping the system architecture relatively simple.
Solution Approach 2:
The system uses feedback from user inputs (urgency values and bid prices) to automatically determine fair power allocations. The charging management system processes these feedback parameters through algorithms that balance fairness with efficiency, achieving equitable distribution without requiring complex manual intervention or external coordination.
Data Source
AI summary
An agent associated with an electric vehicle (EV) includes a network interface configured to facilitate data communication via a network, a memory, and a processing circuit comprising a processor. The processing circuit is configured to receive pricing information for a charging interval from a charging management system, receive, via a user interface, information indicative of a charging urgency from a user, and determine an urgency value k based on the information indicative of the charging urgency, determine a desired charging rate PD for the EV, determine, based on the desired charging rate PD, a bid power Pbid for a charging interval, determine, based on the pricing information and the urgency value k, an agent monetary value for power during the charging interval, and transmit a bid including: a charge interval start and stop time, the agent monetary value, and the desired charging rate PD to the charging management system.