Results 51 to 60 of about 15,200 (191)

Model-based estimation of light-duty vehicle fuel economy at high altitude

Advances in Mechanical Engineering, 2019
In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel
Lijun Hao, Chunjie Wang, Hang Yin, Chunxiao Hao, Haohao Wang, Jianwei Tan, Xin Wang, Yunshan Ge   +7 more
doaj   +1 more source

A Real-Time Energy Management Strategy Based on Energy Prediction for Parallel Hybrid Electric Vehicles

IEEE Access, 2018
Hybrid electric vehicle (HEV) technology is an effective way to resolve the problems of energy consumption and air pollution. Energy management strategies are critical to the performance of HEVs.
Shaojian Han, Fengqi Zhang, Junqiang Xi
doaj   +1 more source

Engine exhaust gas emissions from non-road mobile machinery [PDF]

, 2004
Non-road mobile machinery is used for a range of different operations with varying engine load characteristics. Fuel consumption and emission amounts from such machinery are dependent on the operation performed.
Lindgren, Magnus
core  

Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines [PDF]

This paper describes the utilization of artificial intelligence (AI) techniques to identify an optimal machine learning (ML) model for predicting dodecane fuel consumption in diesel combustion.
Zhiyin Yang, Yang, Z., Jianfei Xie, Xie, J., Shateri, A., Amirali Shateri   +5 more
core   +1 more source

Development of a Predictive System for Car Fuel Consumption Using An Artificial Neural Network

, 2014
[[abstract]]A predictive system for car fuel consumption using a back-propagation neural network is proposed in this paper. The proposed system is constituted of three parts: information acquisition system, fuel consumption forecasting algorithm and ...
Wu, Jian-Da; Liu, Jun-Ching
core  

Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach

Eng
Accurate prediction of ship fuel consumption is essential for improving energy efficiency, optimizing mission planning, and ensuring operational integrity at sea.
Junhao Chen, Yan Peng
doaj   +1 more source

A Forecasting System for Car Fuel Consumption Using a Radial Basis Function Neural Network

, 2014
[[abstract]]A predictive system for car fuel consumption using a radial basis function (RBF) neural network is proposed in this paper. The proposed work consists of three parts: information acquisition, fuel consumption forecasting algorithm and ...
Wu, Jian-Da; Liu, Jun-Ching
core  

Effective Modeling of CO₂ Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection

Energies
Predictive modeling is important for assessing and reducing energy consumption and CO2 emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been fully analyzed, and the rich features of the data pose challenges in prediction ...
Hang Thi Thanh Vu, Jeonghan Ko
doaj   +1 more source

Research on Energy Saving for Hybrid Tractor Based on Working Condition Prediction and DDPG-Fuzzy Control

World Electric Vehicle Journal
To significantly reduce fuel consumption and improve fuel economy in hybrid tractor under complex working conditions, an energy—saving strategy based on working condition prediction and Deep Deterministic Policy Gradient and Fuzzy control (DDPG-Fuzzy ...
Shilong Fan, Xianghai Yan, Shuaishuai Ge, Junjiang Zhang, Mengnan Liu   +4 more
doaj   +1 more source

Energy parameter modeling in plug-in hybrid electric vehicles using supervised machine learning approaches

e-Prime: Advances in Electrical Engineering, Electronics and Energy
In this study, supervised machine learning techniques like random forest (RF), K-nearest neighbour (KNN), multiple linear regression (MLR), and artificial neural networks (ANNs) were used to predict energy parameters in plug-in hybrid electric vehicles ...
Bukola Peter Adedeji
doaj   +1 more source