Economic benefit analysis of battery charging and swapping station for pure electric bus based on differential power purchase policy: a new power trading model

Zhang, Caiqing; Chen, Panyu

doi:10.1016/j.scs.2020.102570

Cited by 29 publications

(5 citation statements)

References 34 publications

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“…Liao et al conducted a study on consumer preferences [3][4]. Zhang et al conducted an economic benefit analysis of the power conversion mode in the field of public transportation [5]. Li et al found that the impact of battery cost on marginal rent of battery leasing is crucial [6].…”

Section: Research Basismentioning

confidence: 99%

Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model

Jiang,

Li,

Ren

et al. 2024

Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29,

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In recent years, the new energy vehicle market has been developing rapidly, in order to further increase the competitiveness of new energy vehicle market, effectively reduce the risk of users and the initial purchase cost, many car companies have launched the battery rental mode of vehicle purchase. Currently, the physical non-interchangeable passenger car occupies a large market share in the battery rental mode, so this paper focuses on the economics of the physical non-interchangeable passenger car in the battery rental mode. From the perspective of consumer cost of ownership, the total cost of ownership (TCO) method is utilized to compare the three options of purchasing a fuel vehicle, purchasing a new energy vehicle as a whole, and purchasing a new energy vehicle in the battery leasing mode, and to obtain the optimal rental pricing range that is a win-win situation for both consumers and battery operators. From the perspective of profitability of battery operators, we establish economic indicators of income and assets, and comprehensively evaluate the economic impacts of rental pricing, residual value of batteries, body scrap ratio, and the ratio of sales volume and model selection. Through the system dynamics model, combined with the perspective of consumers and battery operators, the economic indicators of the battery rental mode are deduced and simulated, and the sensitivity analysis is realized, which can provide a reference for the economic analysis of the battery rental mode. CCS CONCEPTS • Design • Empirical studies • Estimation

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Section: Research Basismentioning

confidence: 99%

Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model

Jiang,

Li,

Ren

et al. 2024

Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29,

View full text Add to dashboard Cite

show abstract

“…The timetabling design and vehicle scheduling with EBs of all-stop scheduling take recharging and driving range into consideration [22][23][24][25]. Teng et al (2019) introduced a multi-objective particle swarm optimization algorithm to optimize the single-line bus timetabling and VSP that smoothes the headway and minimizes the number of vehicles and charging cost [26].…”

Section: Related Workmentioning

confidence: 99%

“…According to the actual data, the least square method is utilized to fit the power consumption during the vehicle operation process. U − i is calculated by Equation (22).…”

Section: Description Of Charging and Discharging Process Of Ebsmentioning

confidence: 99%

Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies

2021

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The emission of greenhouse gases from public transportation has aroused extensive public attention in recent years. Electric buses have the advantage of zero emission, which could prevent the further deterioration of environmental problems. Since 2018, the number of electric buses has exceeded that of traditional buses. Thus, it is an inevitable trend for the sustainable development of the automobile industry to replace traditional fuel buses, and developing electric buses is an important measure to relieve traffic congestion. Furthermore, the bus scheduling has a significant impact on passenger travel times and operating costs. It is common that passenger demand at different stops is uneven in a public transportation system. Since applying all-stop scheduling only cannot match the passenger demand of some stops with bus resources, this paper proposes an integrated all-stop and short-turning service for electric buses, reducing the influence of uneven ridership on load factor to enhance transit attractiveness. Simultaneously, considering the time-of-use pricing strategy used by the power sector, the combinational charging strategy of daytime and overnight is proposed to reduce electricity costs. Finally, the branch-and-price algorithm is adopted to solve this problem. Compared with all-stop scheduling, the results demonstrate a reduction of 13.5% in total time cost under the combinational scheduling.

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“…It is projected that by 2025, the sales of battery swapping vehicles and number of BSSs in China will surpass 1.92 million and 30,000, respectively [10]. Zhang and Chen [11] explore the feasibility of direct power trading in the charging and swapping market by comparing BCSS's economic benefits under three power purchase models. The results show that the direct power trading model can significantly increase the project's NPV and IRR, making up for investment costs.…”

Section: Introductionmentioning

confidence: 99%

An Electric Bus Battery Swapping Station Location Method Based on Global Optimized Peak Traffic Flow

Wang,

Lei

2023

WEVJ

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The electric bus is an extremely important part of urban public transportation and has a huge impact on the ecosystem. However, the battery capacity is still a tough problem, and electric buses often face a booming demand for charging during peak periods. This paper focuses on the problem of electric bus battery swapping station (BSS) location. Based on the traffic flow assignment theory, this paper proposes a hybrid traffic assignment method based on GA and Frank–Wolfe algorithm, which has proved to be closer to the global optimum than the traditional method. This paper proposes a BSS selection model considering service quality as an evaluating indicator and a simulation is made based on a virtual road network. Compared with the traditional method, the result from the hybrid method is more suitable for electric buses when considering the situation at peak hours.

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Economic benefit analysis of battery charging and swapping station for pure electric bus based on differential power purchase policy: a new power trading model

Cited by 29 publications

References 34 publications

Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model

Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model

Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies

An Electric Bus Battery Swapping Station Location Method Based on Global Optimized Peak Traffic Flow

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