Intelligent Charging Navigation for Electric Vehicles Based on Reservation Charging Service

To address the problem of selecting an “appropriate” charging station for emergency charging during the journey of electric vehicles, this paper proposes a basic architecture of an intelligent charging navigation system composed of the power system, traffic system, charging stations, and on-board navigation terminals. The concept of a charging time window is introduced into a “reservation-based charging + consumption” service model for electric vehicle charging prediction. On this basis, a dynamic dispatching model based on a rolling time axis is designed, enabling the charging process of users to be freed from the constraints of queuing time and time-dependent charging service fees. Case simulations show that intelligent charging navigation for electric vehicles based on reservation charging service can effectively improve the users’ charging experience while taking into account both the operating state of the power grid and the benefits of charging station operators.

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Publication Details

Journal
Smart Cities
Published
2025-10-20
DOI
https://doi.org/10.3390/smartcities8050178
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

Intelligent Charging Navigation for Electric Vehicles Based on Reservation Charging Service

Hanli Weng, Zhongya Cai, Diaa‐Eldin A. Mansour, Xiangning Lin
1 citations
Smart Cities
Electric Vehicles and Infrastructure
0.73
article

Intelligent Charging Navigation for Electric Vehicles Based on Reservation Charging Service

Hanli Weng, Zhongya Cai, Diaa‐Eldin A. Mansour, Xiangning Lin
article en
1 citations

Abstract

To address the problem of selecting an “appropriate” charging station for emergency charging during the journey of electric vehicles, this paper proposes a basic architecture of an intelligent charging navigation system composed of the power system, traffic system, charging stations, and on-board navigation terminals. The concept of a charging time window is introduced into a “reservation-based charging + consumption” service model for electric vehicle charging prediction. On this basis, a dynamic dispatching model based on a rolling time axis is designed, enabling the charging process of users to be freed from the constraints of queuing time and time-dependent charging service fees. Case simulations show that intelligent charging navigation for electric vehicles based on reservation charging service can effectively improve the users’ charging experience while taking into account both the operating state of the power grid and the benefits of charging station operators.

Smart CitiesVol. 8(5)
China Three Gorges University (CN), Tanta University (EG), Egypt-Japan University of Science and Technology (EG), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Electric Vehicles and Infrastructure
0.73
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Intelligent Charging Navigation for Electric Vehicles Based on Reservation Charging Service — Hanli Weng, Zhongya Cai, et al. · Smart Cities (2025) | TGRS Research Map | TGRS