Results 41 to 50 of about 44,747 (278)

Intelligent Energy Management Control for Extended Range Electric Vehicles Based on Dynamic Programming and Neural Network

Energies, 2017
The extended range electric vehicle (EREV) can store much clean energy from the electric grid when it arrives at the charging station with lower battery energy.
Lihe Xi, Xin Zhang, Chuanyang Sun, Zexing Wang, Xiaosen Hou, Jibao Zhang   +5 more
doaj   +1 more source

Predictive power demand for energy management of hybrid electric tractors

Smart Agricultural Technology
Stricter emission regulations are driving the electrification of agricultural and equipment machinery, including tractors. In order to enable predictive energy management strategies aimed at reducing fuel consumption and carbon emissions, this study ...
Christian Varlese, Johannes Konrad, Thomas Volf, Dominik Brunner, Christoph Hametner, Peter Hofmann   +5 more
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Improved efficiency with adaptive front and rear axle independently driven powertrain and disconnect functionality

Transportation Engineering, 2023
Front and rear axle independently driven (FRID) powertrains are becoming a popular solution for electric vehicles (EVs) due to torque distribution capability which can enhance powertrain energy efficiency. Typically, permanent magnet synchronous machines
Y. Xu, A. Kersten, S. Klacar, B. Ban, J. Hellsing, D. Sedarsky   +5 more
doaj   +1 more source

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

EcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor, Tamer Kamel, Sarah Fear, Lee J. Durndell   +3 more
wiley   +1 more source

Improving powertrain efficiency through torque modulation techniques in single and dual motor electric vehicles

Transportation Engineering
Battery Electric Vehicles (BEVs) typically experience reduced powertrain energy efficiency under low-torque operating conditions. This issue can be mitigated by torque modulation, i.e., alternating driver torque demand between zero and an appropriate ...
Y. Xu, P. Ingelström, A. Kersten, A. Andersson, S. Klacar, S. George, D. Sedarsky   +6 more
doaj   +1 more source

Model-Based Analysis of Lithium-Ion Battery Technology Predictions in Light-Sport Aircraft

IEEE Access, 2022
A flight performance model was used to analyze the range capability of fully electric and hybrid-electric aircraft powertrains to determine their implementation feasibility compared to a similarly sized traditionally powered reference aircraft. Range was
Madeline McQueen, Ahmet E. Karatas, Gotz Bramesfeld, Osvaldo Arenas   +3 more
doaj   +1 more source

AI‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The four stages of the research process are as follows: First, data is collected and a database is constructed. This is followed by feature selection and analysis, then the establishment of machine learning models, and finally formulation design and preparation.
Yichuan Tang, Shaopeng Liu, Silong Li, Ruonan Ma, Peinan Li, Zheng Wang, Kun Wang, Kaiyan Cao, Sidan Ding, Chao Zhou, Fanghua Tian, Sen Yang, Minxia Fang, Yin Zhang   +13 more
wiley   +1 more source

Predictive battery thermal management for fast charging of electric vehicles using nonlinear model predictive control and dynamic programming

Automotive and Engine Technology
This paper addresses the thermal management of batteries during fast charging of electric vehicles. Using comprehensive measurement data from a state-of-the-art battery electric vehicle (BEV), a control-oriented model of the battery and its thermal ...
Lukas Acker, Peter Hofmann, Johannes Konrad   +2 more
doaj   +1 more source

Accelerating Thermally Safe Operating Area Assessment of Ignition Coils for Hydrogen Engines via AI-Driven Power Loss Estimation

Vehicles
In order to determine thermally safe driving parameters of ignition coils for hydrogen internal combustion engines (ICE), a reliable estimation of internal power losses is essential. These losses include resistive winding losses, magnetic core losses due
Federico Ricci, Mario Picerno, Massimiliano Avana, Stefano Papi, Federico Tardini, Massimo Dal Re   +5 more
doaj   +1 more source