Prediction of cold start emissions for hybrid electric vehicles based on genetic algorithms and neural networks
D Tang, Z Zhang, L Hua, J Pan, Y Xiao - Journal of Cleaner Production, 2023 - Elsevier
The emission of hybrid electric vehicles deteriorates during cold start, and it is a cost-
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …
A high performance polyacrylonitrile composite separator with cellulose acetate and nano-hydroxyapatite for lithium-ion batteries
W Chen, X Wang, J Liang, Y Chen, W Ma, S Zhang - Membranes, 2022 - mdpi.com
The traditional commercial polyolefin separators suffer from high-temperature thermal
shrinkage, low electrolyte wettability and other issues. In order to improve the overall …
shrinkage, low electrolyte wettability and other issues. In order to improve the overall …
[HTML][HTML] A machine learning based method for parametric environmental impact model for electric vehicles
L Manuguerra, F Cappelletti, M Germani - Journal of Cleaner Production, 2024 - Elsevier
Environmental managers attempt to increasingly incorporate precautionary principles into
decision making. The literature lacks Machine Learning-based approaches for forewarning …
decision making. The literature lacks Machine Learning-based approaches for forewarning …
A seq2seq learning method for microscopic emission estimation of on-road vehicles
Microscopic emission estimation based on driving states plays a crucial role in controlling
the pollution of on-road vehicles. Existing research has evolved from fitting nonlinear models …
the pollution of on-road vehicles. Existing research has evolved from fitting nonlinear models …
A Method Based on Machine Learning Techniques for the Development of a Parametric Environmental Impact Model for Industrial Electric Vehicles
L Manuguerra, F Cappelletti, M Rossi… - … Conference of the Italian …, 2023 - Springer
Designers need to be aware early in the design phase of the environmental impact of their
choices over the entire product life cycle. This paper proposes an eco-design method to …
choices over the entire product life cycle. This paper proposes an eco-design method to …
Carbon emissions from road transportation in China: From past to the future
WT Teng, QQ Zhang, Z Guo, GG Ying, JL Zhao - 2024 - researchsquare.com
Road transportation is an important contributor to carbon emissions. China's car ownership
is rapidly increasing, ranking first worldwide; however, there are limited data about carbon …
is rapidly increasing, ranking first worldwide; however, there are limited data about carbon …
EXPRESS BUS MODE AS AN ALTERNATIVE WAY OF IMPROVING THE ENVIRONMENTAL SAFETY OF CITIES.
V Lytvyn, A Tazhmuratova… - Scientific Bulletin of …, 2024 - search.ebscohost.com
Purpose. To propose a modern methodological approach to determine the energy efficiency
of passenger transportation by city buses by establishing the relationship between fuel …
of passenger transportation by city buses by establishing the relationship between fuel …
A Method Based on Machine Learning Techniques for the Development of a Parametric Environmental Impact Model for Industrial Electric Vehicles
M Germani - Design Tools and Methods in Industrial Engineering III … - books.google.com
Designers need to be aware early in the design phase of the environmental impact of their
choices over the entire product life cycle. This paper proposes an eco-design method to …
choices over the entire product life cycle. This paper proposes an eco-design method to …
[HTML][HTML] Науковий вісник НГУ
A Lytvyn, O Novak, S Laun - nvngu.in.ua
Purpose. To propose a modern methodological approach to determine the energy efficiency
of passenger transportation by city buses by establishing the relationship between fuel …
of passenger transportation by city buses by establishing the relationship between fuel …