Connections can make a difference: Understanding EV owners’ motivations for agreeing to share their HCSs in megacities through a mixed methods approach study DOI
Li Li, Rui Zhang, Yiming Yuan

et al.

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2024, Volume and Issue: 109, P. 180 - 210

Published: Dec. 12, 2024

Language: Английский

Axial load of vibratory thru-feed rolling process for involute splined shaft DOI Creative Commons
Dazhou Liu,

Yangfeng Cao,

Hongtao Ren

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Language: Английский

Citations

0
Rolling torque of vibratory thru-feed rolling process for involute splined shaft DOI
Dazhou Liu, Hongtao Ren,

Yangfeng Cao

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

0
Comparative Analysis of Neural Network Models for Predicting Battery Pack Safety in Frontal Collisions DOI Creative Commons
Jun Wang, Chen Ouyang, Zhenfei Zhan

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(2), P. 78 - 78

Published: Feb. 5, 2025

Amid concerns about environmental degradation and the consumption of non-renewable energy, development electric vehicles (EVs) has accelerated, with increasing focus on safety. On road, battery packs are exposed to potential risks from unforeseen objects that may collide or scratch system, which lead damage even explosions, thus endangering safety transportation participants. In this study, several predictive models aimed at assessing performances proposed provide a basis for data-driven structural optimization by numerically simulating deformation base plate. Initially, finite element model pack was developed, accuracy verified performing modal analysis various commercial software tools. Then, representative samples were collected using optimal Latin hypercube sampling, followed collision simulations gather data under different conditions. Next, prediction three models—PSO-BP neural network, RIME-BP RBF network—was compared predicting bottom shell deformation. Finally, based error functions. The results indicate these network can accurately predict frontal conditions within specified limits, yielding best performance beyond those limits. developed is able assess mechanical response collision, providing support optimization. It also provides an important reference improving durability design.

Language: Английский

Citations

0
The Efficacy of the New Energy Vehicle Mandate Policy on Passenger Vehicle Market in China DOI Creative Commons
Ning Wang, Xiufeng Li, Xue‐Ning Yang

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(3), P. 151 - 151

Published: March 5, 2025

This paper aims to assess the impact of New Energy Vehicle (NEV) mandate policy on passenger vehicle market in China, with a focus its effectiveness promoting NEV adoption. In response global climate goals and energy security concerns, China has implemented various policies, including phase-out direct subsidies introduction (dual-credits policy). policy, which combines credits Corporate Average Fuel Consumption (CAFC) credits, not only promote adoption but also support industrial objectives by helping auto industry leapfrog traditional internal combustion engines become globally competitive. this study, System Dynamics (SD) model was developed using Vensim software (10.2.2) simulate interactions between automakers, government consumer behaviors. The results show that significantly boosts sales, projections indicating sales will reach 15 million units 2030, accounting for 55% market. Additionally, study finds tightening standards increasing credit proportion requirements can further enhance growth, stricter measures post-2023 being crucial achieving 50% share. contrast, under scenario where dual-credits ends 2024, share would still grow fall short target 2030. findings suggest stronger be essential maintain long-term momentum.

Language: Английский

Citations

0
Toward a cleaner road: Environmental transformation in Hungary’s automotive sector DOI Creative Commons
Muath Alsheikh

Environmental Economics, Journal Year: 2025, Volume and Issue: 16(2), P. 1 - 14

Published: April 17, 2025

A transition toward sustainable logistics is crucial for Hungary’s automotive industry, which remains a main contributor to environmental degradation through its reliance on carbon-based supply chains. This study aims examine how green technology, policy regulation, and infrastructure availability influence sustainability outcomes the with focus reducing carbon emissions improving operational efficiency. Partial least squares structural equation modeling 2015–2023 empirical data was employed. The model examined direct moderate effects of such factors lowering footprint performance, as well implementation cost, firm size, demand.The results suggest significant impact reduction (path coefficient = 0.32) performance (0.38) adoption technology. Availability regulatory frameworks (0.29 footprint; 0.25 performance) (0.35 0.40, respectively) also have impact. High costs (–0.22 –0.18) complexity chain (–0.15 –0.17) negative impact, particularly small medium-sized enterprises. Moderation analysis shows that size (0.22) strong demand (0.26) enhance benefits adopting technology.The indications are enhancing enforcement, raising financial aid schemes, upgrading solution accelerating practices. Public-private partnerships put forward strategic bridging investment gaps enabling long-term economic advantages industry.

Language: Английский

Citations

0
Connections can make a difference: Understanding EV owners’ motivations for agreeing to share their HCSs in megacities through a mixed methods approach study DOI
Li Li, Rui Zhang, Yiming Yuan

et al.

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2024, Volume and Issue: 109, P. 180 - 210

Published: Dec. 12, 2024

Language: Английский

Citations

0