Lightweighting in the automotive industry as a measure for energy efficiency: Review of the main materials and methods

A Candela, G Sandrini, M Gadola, D Chindamo… - Heliyon, 2024 - cell.com
The increasing emissions of greenhouse gases (GHG) and pollutants like particulate matter
and nitrogen oxides (NOx) have led to environmental concerns. Hybrid and electric …

Driving cycles for estimating vehicle emission levels and energy consumption

A Gebisa, G Gebresenbet, R Gopal… - Future …, 2021 - mdpi.com
Standard driving cycles (DCs) and real driving emissions (RDE) legislation developed by
the European Commission contains significant gaps with regard to quantifying local area …

Environmental impact of the second life of an automotive battery: Reuse and repurpose based on ageing tests

M Philippot, D Costa, MS Hosen, A Senécat… - Journal of Cleaner …, 2022 - Elsevier
The growth of the electric vehicle (EV) market increases the interest in used batteries,
making the evaluation of second life battery degradation and their environmental impact …

[HTML][HTML] Parameters influencing on electric vehicle range

EM Szumska, RS Jurecki - Energies, 2021 - mdpi.com
There is a range of anxiety-related phenomena among users and potential buyers of electric
vehicles. Chief among them is the fear of the vehicle stop** and its users getting “stuck” …

[HTML][HTML] Operational cycles for maritime transportation: A benchmarking tool for ship energy efficiency

A Godet, JN Nurup, JT Saber, G Panagakos… - … Research Part D …, 2023 - Elsevier
Benchmarking the energy efficiency of ships is not a straightforward task, mainly due to the
diversity of operations. Although driving cycles have been used for decades in evaluating …

Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model

J Seo, B Yun, J Park, J Park, M Shin, S Park - Science of the Total …, 2021 - Elsevier
This paper presents a road vehicle emission model that integrates an artificial neural
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …

[HTML][HTML] Regenerative braking logic that maximizes energy recovery ensuring the vehicle stability

G Sandrini, D Chindamo, M Gadola - Energies, 2022 - mdpi.com
This paper presents a regenerative braking logic that aims to maximize the recovery of
energy during braking without compromising the stability of the vehicle. This model of …

Refrigerated transport: State of the art, technical issues, innovations and challenges for sustainability

A Maiorino, F Petruzziello, C Aprea - Energies, 2021 - mdpi.com
The cold chain is responsible for perishable products preservation and transportation,
maintaining a proper temperature to slow biological decay processes. Often the efficiency of …

Exploring the impact of vehicle lightweighting in terms of energy consumption: analysis and simulation

G Sandrini, M Gadola, D Chindamo, A Candela… - Energies, 2023 - mdpi.com
Nowadays, the topic of reducing vehicles' energy consumption is very important. In
particular, for electric vehicles, the reduction of energy consumption is necessary to remedy …