一种一致性电动汽车充电负荷时空分布预测方法
By adopting an electric vehicle charging load prediction method based on stochastic user equilibrium theory, the problem of inconsistency between prediction results and reality in existing technologies is solved. This method achieves stable simulation and accurate prediction of electric vehicle travel and charging behavior, provides clear system optimization objectives and analytical expressions, and ensures the accuracy and stability of prediction results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIANJIN UNIV
- Filing Date
- 2022-09-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electric vehicle charging load forecasting methods are unable to accurately reflect the interaction of traffic conditions, resulting in inconsistencies between forecast results and reality. Furthermore, they lack clear system stability and analytical expressions, making it difficult to conduct quantitative analysis of influencing factors.
By employing a method based on stochastic user equilibrium theory, and through data acquisition, traffic network model establishment, traffic impedance information calculation, stochastic traffic assignment, and convergence testing modules, combined with an improved electric vehicle trip chain and charging model, and using the MDK-SP algorithm and an extended logit model, stable simulation and accurate prediction of electric vehicle trip and charging behavior can be achieved.
It achieves consistency between electric vehicle charging load prediction results and actual traffic conditions, provides clear system optimization objectives and analytical expressions, and can quantify the impact of multiple scenarios that are difficult to obtain in reality, ensuring the accuracy and stability of prediction results.
Smart Images
Figure CN115495701B_ABST