Allocation Method for Mobile Charging Vehicles Based on the Spatial Charging Demand

Liu, Yujun; Hongyuan, Yin; Zeng, Pingliang; Wang, Zhongdong; Zigang, Lu

doi:10.5755/j01.eie.24.1.20153

Cited by 5 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Literature [9] considered the influence of charging distance and angle on charging efficiency during actual charging scheduling, and minimized the charging cycle by calculating the optimal charging rate and optimal location of the mobile charging vehicle. Literature [10] proposed a rechargeable sensor network with limited mobility of charging vehicles.…”

Section: Related Workmentioning

confidence: 99%

Research on mobile charging vehicle path planning considering road restrictions

ZHENG

Wang

et al. 2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

View full text Add to dashboard Cite

In order to alleviate the "power shortage panic" phenomenon caused by the lack of flexibility in the use of fixed charging stations, the introduction of mobile charging vehicles can effectively alleviate the charging problem of electric vehicles and improve the user experience. First, we divide the road network in specific areas, and then forecast the resident traffic volume (OD) data, so as to determine the initial location and distribution of mobile charging vehicles. From the global optimization of the charging time of the mobile charging vehicle at each charging position, ensure that each energy critical sensor is fully charged. At the same time, a mobile charging vehicle path planning algorithm considering the road state is proposed to determine the charging loop of the mobile charging vehicle and the charging time of the corresponding location, so as to minimize the total charging scheduling time on the loop. Finally, the performance of the proposed algorithm is evaluated through simulation experiments. Experimental results show that the proposed algorithm has low energy consumption, strong robustness and excellent performance.

show abstract

Section: Related Workmentioning

confidence: 99%

Research on mobile charging vehicle path planning considering road restrictions

ZHENG

Wang

et al. 2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

View full text Add to dashboard Cite

show abstract

“…Research on Design of a mobile charging vehicle is a study of the design of a mobile charging vehicle that can be used to charge electronic devices while on state [5]. Research focuses on the design of the vehicle, the types of charging systems that can be used, and the safety considerations that must be taken into account.…”

Section: Introductionmentioning

confidence: 99%

Research on design of a mobile charging vehicle

Zheng

2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

View full text Add to dashboard Cite

With the increasing desire for intelligent goods, which has occurred numerous issues for technology developers, especially in the area of new energy vehicles. Several instances exist in which intelligent robots or autonomous vehicles may automatically patrol the line. However, few goods can be made a larger advance in the poor endurance. Through utilizing mobile refueling station as a starting point, this paper will establish a service that can offer mobile charging for automobiles during regular driving by following and chasing. Utilizing a pair of master-slave electric cars, the mobile charging design will be simulated. Additionally, The relative position between two vehicles is managed by overtaking and counter-overtaking and the trolley employs a five-way grayscale tracing module as its primary method of patrolling and track element detection. Adjustment parameter, the chasing and overtaking portion are utilized as ultrasonic distance measurement module to transmit back the distance information of two cars through the serial port in real time. From our extensive experimental results, we can conclude that the system as a whole accurately replicates the numerous functional needs of the actual world and attains excellent performance indices.

show abstract