The Effect of Marine Power Generation Technology on the Evolution of Energy Demand for New Energy Vehicles

Mao, Jia; Hong, Dou; Ren, Runwang; Li, Xiangyu

doi:10.2112/si103-209.1

Cited by 13 publications

(6 citation statements)

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“…The regulatory role of the market means the subsidy will eventually be distributed between producers and consumers [20]. The effect of the government's subsidies on the producers of new energy vehicle enterprises is shown in Figure 1, where D represents the market demand line and S represents the market supply line.…”

Section: ) Effect Of Government Subsidies On Manufacturersmentioning

confidence: 99%

A Study on the Impact of Low-Carbon Policies on New Energy Vehicle Marketing in the Age of Artificial Intelligence

Li,

He,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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The country’s low-carbon policy makes the new energy industry vigorously promoted, and at the same time, the addition of artificial intelligence technology also makes the new energy and traditional fuel vehicles pull apart. This paper decomposes the influencing factors of transportation carbon emission by measuring the energy saving and emission reduction of transportation of new energy vehicles, using the extended Kaya constant equation of transportation carbon emission and the generalized Fisher index method. From the government subsidies and tax incentives in low carbon policies, the impact of policies on the performance of new energy vehicle enterprises is explored by analyzing the empirical regression results. The results show that the correlation coefficients of financial subsidies and enterprise performance are 0.135, 0.09, and 0.081, and the correlation coefficients of tax preferences and enterprise performance are 0.075, 0.172, 0.08, respectively, which indicate that low-carbon policies have positive incentive effects on new energy vehicle marketing. This paper provides a reference for the related low-carbon policy incentive theory.

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Section: ) Effect Of Government Subsidies On Manufacturersmentioning

confidence: 99%

A Study on the Impact of Low-Carbon Policies on New Energy Vehicle Marketing in the Age of Artificial Intelligence

Li,

He,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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show abstract

“…The results indicate that electricity energy demand from e-mobility will increase by less than 1% by 2025. Mao, et al [10] used the fuzzy clustering method and an adaptive optimization algorithm to predict the energy demand of new energy vehicles and achieved good results.…”

Section: Literature Reviewmentioning

confidence: 99%

Forecast of the Evolution Trend of Total Vehicle Sales and Power Structure of China under Different Scenarios

2023

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Accurate forecasting of the power structure and sales volume of the automobile industry is crucial for corporate decision making and national planning. Based on the auto sales data from 2011 to 2022 compiled from the official website of the China Association of Automobile Manufacturers (CAAM), the total auto sales in China from 2023 to 2030 were firstly predicted using a combined GM (1,1), and quadratic exponential smoothing forecast model optimized by particle swarm algorithm. Subsequently, the vehicles were classified into the following four categories by power: traditional fuel vehicles, pure electric vehicles, plug-in hybrid vehicles, and hydrogen fuel cell vehicles. Then, based on vehicle sales data from 2015 to 2022, The Markovian model and the component data model based on hyperspherical transformation are used to predict the vehicle power structure from 2023 to 2030 under the natural evolution scenario and the consumer purchase intention dominant scenario, respectively. The results show that total vehicle sales in China are expected to reach 32.529 million units by 2030. Under the natural evolution scenario and the consumer purchase intention dominant scenario, China will achieve the planned target of 40% of the new car market in the sales of new energy vehicles in 2028 and 2026, respectively. By 2030, under the natural evolution scenario, the sales volume of traditional fuel vehicles in the new car market will be 54.83%, the proportion of pure electric vehicles will be 35.92%, the proportion of plug-in hybrid vehicles will be 9.23%, and the proportion of hydrogen fuel cell vehicles will be 0.02%. Under the consumer purchase intention dominant scenario, the proportions of the four power types are 36.51%, 48.11%, 15.28%, and 0.10%, respectively.

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“…The advancement and application of new energy generation technologies have led to the development of various technologies [1][2][3][4], including power factor correction in wind power generation [5][6][7]. Simultaneously, the increasing focus on environmental preservation has driven the widespread adoption of electric vehicles [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Alternative Performance Indices-Based Control Technique for a Unity Power Factor Three-Phase Rectifier

Zhang,

Liu,

Jia

et al. 2024

Electronics

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The implementation of a unity power factor (UPF) three-phase rectifier has the potential to enhance the power factor (PF). However, the PF and total harmonic distortion (THD) experience degradation in low-output regions due to the utilization of a “critical input inductor” under rated load conditions. In this study, an analysis of the operation principle of a UPF three-phase rectifier is conducted and a reference compensation current technique based on alternative performance indices is proposed. The optimal control algorithm is utilized to calculate the single harmonic phase delay of each phase and determine the compensator gain, taking into account factors such as the single harmonic distortion limit, THD limit, PF, and active power consumption. The output of the current compensator serves as the desired current source, which in turn drives the bidirectional switches. The simulation and experimental results demonstrate that the proposed control technique can significantly mitigate power supply current distortion, and the input power factor has been effectively improved within a wider load range.

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The Effect of Marine Power Generation Technology on the Evolution of Energy Demand for New Energy Vehicles

Cited by 13 publications

References 0 publications

A Study on the Impact of Low-Carbon Policies on New Energy Vehicle Marketing in the Age of Artificial Intelligence

A Study on the Impact of Low-Carbon Policies on New Energy Vehicle Marketing in the Age of Artificial Intelligence

Forecast of the Evolution Trend of Total Vehicle Sales and Power Structure of China under Different Scenarios

Alternative Performance Indices-Based Control Technique for a Unity Power Factor Three-Phase Rectifier

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