Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies

Clairand, Jean-Michel; Guerra-Terán, Paulo; Serrano-Guerrero, Xavier; González, Mario; Escrivá-Escrivá, Guillermo

doi:10.3390/en12163114

Cited by 41 publications

(21 citation statements)

References 104 publications

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“…Transportation, especially autos, consumes large amounts of fossil fuels and has a significant impact on air pollution, greenhouse gas emission, and global warming [1,2]. China Industry Information Network (CIIN) shows that auto production increased from 2.07 million to 24.5 million during 2000-2015, with an average annual growth rate of 17.92% [3].…”

Section: Introductionmentioning

confidence: 99%

“…Yu et al [19] also believed that HVs have better power and economy than FVs, which is mainly because battery energy optimizes power efficiency. Later, Clairand et al [1] pointed out that EVs are more eco-friendly and efficient than HVs. e development of EVs was considered to be a particularly promising strategy to promote the sustainable development of the auto industry [20,21].…”

Section: Introductionmentioning

confidence: 99%

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China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model

Zhang

Zhou

et al. 2021

Complexity

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To protect energy resources and alleviate environmental pollution, many countries attach great importance to the transformation of traditional industries into clean energy industries. In this paper, fuel vehicles (FVs), hybrid vehicles (HVs), and electric vehicles (EVs) are included in the research. Then, based on the aging chain and coflow theory of SDs, we construct a dynamic matching model of the auto industry upgrade process and its energy consumption attributes. The simulation results of China’s auto industry show that (1) the upgrading of the auto industry is an evolutionary process from high energy consumption and high pollution to low energy consumption and no pollution and the transition from FVs and HVs to EVs will undergo two adjustments; (2) simply reducing energy supply does not have the expected impact on vehicle size and vehicle energy consumption intensity and only by adjusting the energy supply and upgrade ratios together, energy utilization efficiency can be improved; (3) market screening time has an impact on auto industry upgrade speed by affecting vehicle market share and dwell time; (4) China’s auto industry upgrade process should adhere to “problem-oriented” and strengthen consumer guidance, technology innovation, and infrastructure construction. The conclusions can provide references for industrial policy adjustment and industrial structure optimization.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model

Zhang

Zhou

et al. 2021

Complexity

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“…Obviously, all the above studies have focused on private electric vehicles, and little attention has been paid to electric taxis. Electric taxis are different from private electric vehicles in terms of power characteristics, running time, and power consumption [14]. Specifically, compared with private electric vehicles and electric buses, electric taxi owners are completely profit oriented.…”

Section: Introductionmentioning

confidence: 99%

Optimal Decision-Making Method for a Plug-In Electric Taxi in Uncertain Environment

et al. 2021

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This paper studies the optimal decision-making problem for a plug-in electric taxi (PET) in a time-varying complex environment, i.e., a passenger environment, charging station environment, traffic environment, and taxi company management system, in order to maximize PET profit in a short-term operating cycle. First, this problem is formulated as a sequential decision-making problem composed of multiple decision slots. Then, to make the model more practical, the model is divided into two parts: an external environment and an electric taxi model for refinement. The uncertainty and time-varying characteristics of four environmental aspects, including passengers, charging stations, traffic, and taxi company management systems, are analysed and modelled. The transitions between adjacent processes and the environmental feedback of each process are modelled by further subdividing both the serving process and the charging process of the PET into multiple subprocesses, including cruising, carrying passengers, driving to the charging station, queueing before charging, and connecting to the power grid for charging. There are several uncertain factors in the sequential decision-making process for the PET, which leads to difficulty in solving the problem. To address this difficulty, the model-free algorithm SARSA is chosen. Finally, the effectiveness of the proposed method is verified by simulation results.INDEX TERMS Plug-in electric taxi, decision making, uncertainty, SARSA algorithm, load modelling.

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“…The growing number of electric vehicles (EV) raises many concerns about EV supply equipment (EVSE) [1]. In particular, the fact that the number of EV charging stations is not keeping up with the increase in the number of EVs is the greatest problem for consumers who are considering buying EVs [2].…”

Section: Introductionmentioning

confidence: 99%

Selecting Locations of Electric Vehicle Charging Stations Based on the Traffic Load Eliminating Method

Choi

et al. 2020

Energies

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Establishing electric vehicle supply equipment (EVSE) to keep up with the increasing number of electric vehicles (EVs) is the most realistic and direct means of promoting their spread. Using traffic data collected in one area; we estimated the EV charging demand and selected priority fast chargers; ranging from high to low charging demand. A queueing model was used to calculate the number of fast chargers required in the study area. Comparison of the existing distribution of fast chargers with that suggested by the traffic load eliminating method demonstrated the validity of our traffic-based location approach.

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Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies

Cited by 41 publications

References 104 publications

China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model

China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model

Optimal Decision-Making Method for a Plug-In Electric Taxi in Uncertain Environment

Selecting Locations of Electric Vehicle Charging Stations Based on the Traffic Load Eliminating Method

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