Results 81 to 90 of about 2,035 (215)

The importance of precise and suitable descriptors in data‐driven approach to boost development of lithium batteries: A perspective

Electron, Volume 2, Issue 4, November 2024.
All the non‐radioactive non‐noble gas elements in the periodic table can form countless compounds through different permutations and combinations, and screening functional materials suitable for lithium‐ion batteries from this near‐infinite number of compounds far exceeds the arithmetic power of human beings, and the emergence of AI/ML makes up for ...
Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He   +4 more
wiley   +1 more source

Dual‐inertia flywheel energy storage system for electric vehicles

IET Electric Power Applications, Volume 18, Issue 10, Page 1370-1381, October 2024.
Introducing a novel adaptive capacity energy storage concept based on the Dual‐Inertia Flywheel Energy Storage System for battery‐powered Electric Vehicles and proposing a hierarchical Energy Management System/sizing framework. Abstract Managing the high‐rate‐power transients of Electric Vehicles (EVs) in a drive cycle is of great importance from the ...
Abbas Mehraban, Teymoor Ghanbari, Ebrahim Farjah   +2 more
wiley   +1 more source

A comprehensive framework for predicting electric vehicle's participation in ancillary service markets

IET Smart Grid, Volume 7, Issue 5, Page 610-627, October 2024.
A machine learning‐based model is developed from an electric vehicle (EV) aggregator point of view. The primary objective is to predict the yearly involvement of EVs through data of only a single week. The EV aggregator could use this method to select EVs with high potential for participation in the market.
Saeed Naghdizadegan Jahromi, Amir Abdollahi, Ehsan Heydarian‐Forushani, Mehdi Shafiee   +3 more
wiley   +1 more source

Research concerning the autonomy of the electric vehicles, simulated and measured, in the case of driving at the high and the very high speed, specific to the WLTC test.

IOP Conference Series: Materials Science and Engineering
In the current research, the autonomy and the energy consumption are the most important attributes expected from the electric road vehicles. Because the electric car manufacturing industry is in a continuous progress, this offers its customers a wide ...
C. Minzatu, V. Nișulescu, G. Frățilă, C. Stan, G. Bancǎ   +4 more
semanticscholar   +1 more source

Energy Efficiency of an LPG-Powered Extended-Range Electric Vehicle

Engineering Transactions
This paper deals with energy efficiency evaluation of an extended range electric vehicle (EREV) equipped with a range extender (REX) powered by liquefied petroleum gas (LPG).
Paweł KRAWCZYK, Artur KOPCZYŃSKI, Jakub LASOCKI   +2 more
doaj   +1 more source

Digital Twin‐Assisted Degradation Diagnosis and Quantification of NMC Battery Aging Effects During Fast Charging

Advanced Energy Materials, Volume 14, Issue 36, September 26, 2024.
Fast charging is crucial for the widespread adoption of electric vehicles. Understanding the impact of high charging rates and stress factors on battery components is essential. Digital twins offer a solution by integrating real measurement data with models that connect materials science and control theory.
Wendi Guo, Zhongchao Sun, Jia Guo, Yaqi Li, Søren Byg Vilsen, Daniel Ioan Stroe   +5 more
wiley   +1 more source

RETRACTED: Research concerning the autonomy of the electric vehicles, simulated and measured, in the case of driving at the low and the medium speed, specific to the WLTC test.

IOP Conference Series: Materials Science and Engineering
The most important attributes expected from today’s electric vehicles are the electricity consumption and the autonomy, which must be able to unequivocally replace the results achieved by the vehicles equipped with an internal combustion engine.
C. Minzatu, V. Nișulescu, M. Toma, C. Rentea, G. Bancǎ   +4 more
semanticscholar   +1 more source

EU project GasOn n.652816 [PDF]

, 2019
The demo vehicle of Ford was measured at JRC in January 2019. In the laboratory the old type approval cycle NEDC and the new type approval cycle WLTC were tested. On the road RDE compliant routes were followed. The results showed that: 1.
MARTINI Giorgio, GIECHASKIEL Barouch
core   +1 more source

Multiscale modeling for enhanced battery health analysis: Pathways to longevity

Carbon Neutralization, Volume 3, Issue 3, Page 348-385, May 2024.
Battery health management and life extension framework based on multiscale modeling. Models related to battery material properties and side reactions provide insights into the mechanisms of battery degradation. Multiscale models utilize simulation results along with operational data to establish a mapping relationship from microscopic mechanisms to ...
Kaiyi Yang, Lisheng Zhang, Wentao Wang, Chengwu Long, Shichun Yang, Tao Zhu, Xinhua Liu   +6 more
wiley   +1 more source

Real-Time Predicting the Low-Temperature Performance of WLTC-Based Lithium-Ion Battery Using an LSTM-PF Sequential Ensemble Model

IEEE Access
Predicting an abnormally rapid decline in battery capacity in low-temperature environments is important for maintaining battery stability and performance.
Min-Sung Sim, Do-Yoon Kim, Yong-Jin Yoon, Seok-Won Kang, J. Baek   +4 more
semanticscholar   +1 more source