Evaluation of the multi-dimensional growth potential of China's public charging facilities for electric vehicles through 2030

Zhang, Ziqi; Zhong, Chen; Xing, Qiang; Ji, Zhenya; Zhang, Tian

doi:10.1016/j.jup.2022.101344

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…As EVs become increasingly predominant, it is crucial to ensure the availability and accessibility of charging stations ubiquitously. The ultimate policy objective is to make charging EVs as easy and as effortless as refueling a conventional vehicle, eliminating any barriers for EVs to travel seamlessly while alleviating concerns like range anxiety [32][33][34][35]. The European Commission with its 2020 Sustainable and Smart Mobility Strategy identified a need for three million public charging points by 2030 [36,37], so as to guarantee a dense, widely spread network to all customers.…”

Section: Overview Of Charging Stations In Europementioning

confidence: 99%

Strategic Approach for Electric Vehicle Charging Infrastructure for Efficient Mobility along Highways: A Real Case Study in Spain

et al. 2023

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The Electric Vehicle (EV) market has been growing exponentially in recent years, which is why the distribution network of public charging stations will be subject to expansion and upgrading. In order to improve the public charging infrastructure, this paper aims to develop a model capable of analyzing the current situation of a stretch of highway, identifying the congestion points, created by the formation of queues at the charging points. A specific section of a highway in Spain was selected as a case study to evaluate the performance of the model, allowing for rigorous testing and thorough analysis of its performance in a real-world scenario. The first step is to define and evaluate the effects of factors affecting EV consumption, such as the slope of the road, weather conditions, and driving style. Subsequently, a simulation model is developed using the agent-based simulation software AnyLogic, which simulates the journey of a fleet of electric vehicles, taking into account the battery charging and discharging process. Based on the obtained results, the charging infrastructure is improved to minimize the total travel time of an electric vehicle on a long-distance trip.

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Section: Overview Of Charging Stations In Europementioning

confidence: 99%

Strategic Approach for Electric Vehicle Charging Infrastructure for Efficient Mobility along Highways: A Real Case Study in Spain

et al. 2023

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“…In China, EV adoption is accelerating due to strong government support, evolving charging technology, and improved charging infrastructure. By the end of 2019, China had surpassed 3 million EVs, rendering it the world's largest EV market [2]. According to the Ministry of Industry and Information Technology's Development Strategy research report, China will have 60 million EVs on its roads by 2030 [3,4].…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Orderly Charging Strategy Based on Optimal Time of Use Price Demand Response of Electric Vehicles in Distribution Network

et al. 2022

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In order to manage electric vehicles (EVs) connected to charging grids, this paper presents an orderly charging approach based on the EVs’ optimal time-of-use pricing (OTOUP) demand response. Firstly, the Monte Carlo approach is employed to anticipate charging power by developing a probability distribution model of the charging behavior of EVs. Secondly, a scientific classification of the load period is performed using the fuzzy clustering approach. Then, a matrix of demand price elasticity is developed to measure the link between EV charging demand and charging price. Finally, the charging scheme is optimized by an adaptive genetic algorithm from the distribution network and EV user viewpoints. This paper describes how to implement the method presented in this paper in an IEEE-33-bus distribution network. The simulation results reveal that, when compared to fixed price and common time-of-use pricing (CTOUP), the OTOUP charging strategy bears a stronger impact on reducing peak–valley disparities, boosting operating voltage, and decreasing charging cost. Additionally, this paper studies the effect of varied degrees of responsiveness on charging strategies for EVs. The data imply that increased responsiveness enhances the likelihood of new load peak, and that additional countermeasures are required.

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“…The study is unmatched in terms of amount and representativeness. 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 In the first block of the result section, the dataset is visualized to answer the following research question: I – When and for how long are PCSs typically occupied and how much energy is consumed per charge event? …”

Section: Introductionmentioning

confidence: 99%

“…Works were performed around Amsterdam and its surroundings, 6 , 7 the Netherlands as a whole, 8 , 9 , 10 Nebraska, USA, 3 , 4 , 5 and Jiangsu Province, China. 11 The level of detail differs between each study. Generally, the occupation status per PCS is known.…”

Section: Introductionmentioning

confidence: 99%

Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data

Hecht¹,

Figgener²,

Sauer³

2022

iScience

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Evaluation of the multi-dimensional growth potential of China's public charging facilities for electric vehicles through 2030

Cited by 10 publications

References 9 publications

Strategic Approach for Electric Vehicle Charging Infrastructure for Efficient Mobility along Highways: A Real Case Study in Spain

Strategic Approach for Electric Vehicle Charging Infrastructure for Efficient Mobility along Highways: A Real Case Study in Spain

Orderly Charging Strategy Based on Optimal Time of Use Price Demand Response of Electric Vehicles in Distribution Network

Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data

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