Results 21 to 30 of about 11,890 (266)

Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning

Cogent Engineering
The fuel consumption model serves as a valuable tool for estimating real-time fuel consumption levels. An accurate fuel consumption model is crucial in providing precise information regarding fuel utilisation and motivating experts to assess the vehicle ...
Harsh Nagar, Rajendra Machavaram,   Ambuj, Peeyush Soni, Vijay Mahore, Prakhar Patidar   +5 more
doaj   +1 more source

Use of a Convolutional Neural Network for Predicting Fuel Consumption of an Agricultural Tractor

Resources, 2023
The energy crisis and depleting fossil fuel resources have always been the focus of researchers. Fuel consumption of agricultural tractors is not an exception. Researchers have used different methods to predict fuel consumption.
Hamid Jalilnezhad, Yousef Abbaspour-Gilandeh, Vali Rasooli-Sharabiani, Aref Mardani, José Luis Hernández-Hernández, José Antonio Montero-Valverde, Mario Hernández-Hernández   +6 more
doaj   +1 more source

Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)

Energies, 2014
The present paper suggests fuel consumption modeling for HDVs based on the code from the Japanese Ministry of the Environment. Two interpolation models (inversed distance weighted (IDW) and Hermite) and three types of fuel efficiency maps (coarse, medium,
Yunjung Oh, Sungwook Park
doaj   +1 more source

Exploring Time-Series Deep Learning Models for Ship Fuel Consumption Prediction

Journal of Marine Science and Engineering
The fuel consumption of ships is an important component of shipping operation costs and also a significant source of greenhouse gas emissions. Accurate fuel consumption prediction is of great significance for optimizing the energy efficiency management ...
Xiao Chen, Xiaosheng Liu, Yuxia Luo, Xiangming Zeng   +3 more
doaj   +1 more source

Battery Aging-Aware Online Optimal Control: An Energy Management System for Hybrid Electric Vehicles Supported by a Bio-Inspired Velocity Prediction

IEEE Access, 2021
In this manuscript, we address the problem of online optimal control for torque splitting in hybrid electric vehicles that minimises fuel consumption and preserves battery life.
Giammarco Valenti, Edoardo Pagot, Luca De Pascali, Francesco Biral   +3 more
doaj   +1 more source

Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation

Agriculture
Tractor fuel consumption has typically been predicted using indoor test results under specific conditions. This study analyzes the factors affecting fuel consumption during rotary tillage in actual fields and develops a prediction model.
Seung-Jun Kim, Moon-Kyeong Jang, Seok-Joon Hwang, Won Suk Lee, Ju-Seok Nam   +4 more
doaj   +1 more source

An ECMS Based on Model Prediction Control for Series Hybrid Electric Mine Trucks

Energies, 2023
This paper presents an equivalent consumption minimization strategy (ECMS) based on model predictive control for series hybrid electric mine trucks (SHE-MTs), the objective of which is to minimize fuel consumption.
Jichao Liu, Yanyan Liang, Zheng Chen, Hai Yang   +3 more
doaj   +1 more source

Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones

Journal of Advanced Transportation, 2020
Transportation is an important factor that affects energy consumption, and driving behavior is one of the main factors affecting vehicle fuel consumption. The purpose of this paper is to improve fuel consumption monitoring databases based on mobile phone
Ying Yao, Xiaohua Zhao, Chang Liu, Jian Rong, Yunlong Zhang, Zhenning Dong, Yuelong Su   +6 more
doaj   +1 more source

Analyzing the Effects of Road Type and Rainy Weather on Fuel Consumption and Emissions: A Mesoscopic Model Based on Big Traffic Data

IEEE Access, 2021
Road transportation accounts for significant percentages of urban energy consumption and carbon emissions. Therefore, it is important to predict and analyze the fuel consumption and emissions for on-road vehicles, which are varied under different ...
Rui Shang, Yi Zhang, Zuo-Jun Max Shen, Yi Zhang   +3 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source