Mapping the knowledge domains of new energy vehicle safety: Informetrics analysis-based studies

Wang, Han; Yao, Jieyu; Ye, Dong; Lang, Zhihui; Głowacz, Adam

doi:10.1016/j.est.2021.102275

Cited by 33 publications

(11 citation statements)

References 99 publications

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“…VOSviewer software was used to analyze the relationship between keywords and the research direction, 58 and keyword cooccurrence network mapping was drawn (see Figure 9). The node size indicated the number of keyword co-occurrences.…”

Section: Keyword Co-occurrence Analysismentioning

confidence: 99%

Mapping the Knowledge Domain of Corrosion Inhibition Studies of Ionic Liquids

Ye,

Huang,

Wang

et al. 2023

Ind. Eng. Chem. Res.

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Section: Keyword Co-occurrence Analysismentioning

confidence: 99%

Mapping the Knowledge Domain of Corrosion Inhibition Studies of Ionic Liquids

Ye,

Huang,

Wang

et al. 2023

Ind. Eng. Chem. Res.

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“…The government must plan as soon as possible, make a consistent planning in cities and intercity roads and build an economical and comfortable energy center to create a good basis for promoting the separation of the vehicle and electricity. The overall trend of NEV safety studies is increasing, and the development process can be divided into two periods: preliminary (2000 to 2011) and rapid (2012 to present) [18] .…”

Section: Government Insists On the Construction Of Charging Piles And...mentioning

confidence: 99%

“…The government should provide targeted subsidies, focusing on developing critical technologies such as autonomous driving technology and automotive semiconductor for new energy vehicles. T [18]o achieve accurate subsidy is necessary to establish the evaluation and screening mechanism of subsidy projects, reducing information asymmetry in the subsidy process. The preferential tax policy should emphasize innovative projects.…”

Section: Breakthrough Bottlenecks In Technological Advancement By Fis...mentioning

confidence: 99%

Analysis of New Energy Vehicles Industry under the Vision of Carbon Neutrality in China

Zhang¹,

Chen²,

Huang³

et al. 2023

Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022

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China is the world's largest consumer of automobiles and has the most prominent position in the new energy vehicle market in terms of carbon neutrality. New energy vehicles need to be developed to bring about a revolution and transformation in the automotive industry and a sustainable economy. On the basis of data related to new energy vehicles, systematically analyzes the state and problems of the Chinese auto industry on new energy sources in terms of policy, supply, demand, industry and car manufacturers.

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“…The diffusion of new energy vehicles (NEVs) plays an important role in the deep decarbonization of the transportation sector (Milovanoff et al, 2020;Yang et al, 2020). The diffusion of NEVs is influenced by many factors, such as government subsidies (Zhao et al, 2021a), ownership cost (Lopez et al, 2021), safety (Wang et al, 2021), consumer acceptance (Huang et al, 2021), and the maturity of energy chains (Taalbi and Nielsen, 2021), which are the focus of this study. Energy chains are combinations of technologies that are defined at the level of conversion facilities (e.g., power plants or end-user devices such as cars).…”

Section: Introductionmentioning

confidence: 99%

Levelized costs of the energy chains of new energy vehicles targeted at carbon neutrality in China

Qiu

Zhao

et al. 2022

Front. Eng. Manag.

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The diffusion of new energy vehicles (NEVs), such as battery electric vehicles (BEVs) and fuel cell vehicles (FCVs), is critical to the transportation sector’s deep decarbonization. The cost of energy chains is an important factor in the diffusion of NEVs. Although researchers have addressed the technological learning effect of NEVs and the life cycle emissions associated with the diffusion of NEVs, little work has been conducted to analyze the life cycle costs of different energy chains associated with different NEVs in consideration of technological learning potential. Thus, relevant information on investment remains insufficient to promote the deployment of NEVs. This study proposes a systematic framework that includes various (competing or coordinated) energy chains of NEVs formed with different technologies of power generation and transmission, hydrogen production and transportation, power-to-liquid fuel, and fuel transportation. The levelized costs of three typical carbon-neutral energy chains are investigated using the life cycle cost model and considering the technological learning effect. Results show that the current well-to-pump levelized costs of the energy chains in China for BEVs, FCVs, and internal combustion engine vehicles (ICEVs) are approximately 3.60, 4.31, and 2.21 yuan/GJ, respectively, and the well-to-wheel levelized costs are 4.50, 6.15, and 7.51 yuan/GJ, respectively. These costs primarily include raw material costs, and they vary greatly for BEVs and FCVs from resource and consumer costs. In consideration of the technological learning effect, the energy chains’ well-to-wheel levelized costs are expected to decrease by 24.82% for BEVs, 27.12% for FCVs, and 19.25% for ICEVs by 2060. This work also summarizes policy recommendations on developing energy chains to promote the diffusion of NEVs in China.

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Mapping the knowledge domains of new energy vehicle safety: Informetrics analysis-based studies

Cited by 33 publications

References 99 publications

Mapping the Knowledge Domain of Corrosion Inhibition Studies of Ionic Liquids

Mapping the Knowledge Domain of Corrosion Inhibition Studies of Ionic Liquids

Analysis of New Energy Vehicles Industry under the Vision of Carbon Neutrality in China

Levelized costs of the energy chains of new energy vehicles targeted at carbon neutrality in China

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