Space-time scheduling optimization method and system for electric vehicles considering user false information

By constructing a spatiotemporal dual-dimensional electric vehicle optimization scheduling model and VCG mechanism, quantifying user contributions, and designing a new charging cost billing mechanism, the problem of electric vehicle users reporting false information was solved, thereby achieving incentives for user participation and improving optimization results.

CN116402198BActive Publication Date: 2026-04-14HUAZHONG UNIV OF SCI & TECH
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Patent Information

Application Number
CN202310254497.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-16
Publication Date
2026-04-14
Estimated Expiration
2043-03-16

AI Technical Summary

Technical Problem

Existing technologies cannot effectively incentivize electric vehicle users to report their actual charging needs, leading to reduced optimization and scheduling effectiveness, and there is also the phenomenon of users deliberately reporting false information for personal gain.

Method used

We design an electric vehicle optimization scheduling model based on spatiotemporal dual dimensions. By constructing an objective function and constraints, we quantify the marginal contribution of users to the optimization scheduling effect. We also design a new charging cost billing mechanism in conjunction with the VCG mechanism to incentivize users to report accurate information.

Benefits of technology

It achieves a convergence between minimizing user charging costs and minimizing overall charging costs, reduces the cost of each user's participation in scheduling, avoids false information, and improves optimization results.

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Abstract

The application discloses a kind of considering user false information's electric vehicle space-time scheduling optimization method and system, belong to electric vehicle optimization scheduling field.Scheduling center needs to minimize overall charging cost under the charging demand constraint of satisfying all electric vehicles, user once lies report demand, possibly will reduce own charging cost, but the charging cost of other electric vehicle users will rise, leading to the rise of total cost, to solve this problem, based on the space-time two-dimensional electric vehicle optimization scheduling framework, a new charging cost billing mechanism is designed, considering the influence of the charging strategy reported by user on optimization scheduling result, so that individual charging cost minimization and overall charging cost minimization tend to consistency.Not only reduce the charging cost of each user after participating in scheduling, but also avoid the phenomenon that user chooses to report false information to gain profit when participating in scheduling, better encourage user to participate in scheduling, improve optimization effect.
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