Results 161 to 170 of about 158,142 (367)
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Basic parameters and performance requirements were briefed for the electric drive system of Chongqing metro line 6 vehicles, and the design, calculation and line simulation of traction and regenerative braking performance of the system were expounded ...
LI Wei +3 more
doaj
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Wirelessly Powered Soft Magnetic Robot with Microneedle for Electrical Stimulation and Drug Delivery
A wirelessly powered soft magnetic robot integrates microneedles to enable dual functions: electrical stimulation (86.7% efficiency at 6 cm, tunable 0–20 V voltage, 0.4–50 ms pulses) and drug delivery. It switches surfaces via magnetic fields for gastrointestinal tract locomotion and treatment, with in vitro validation in fresh pig gut showing ...
Song Zhao +8 more
wiley +1 more source
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
Electric System of Changsha Metro Line 2 Battery Electric Vehicle
The basic characteristic of the battery electric vehicle of the Changsha metro line 2 were described. Main composition and characteristics of the electric drive system, auxiliary power supply system and network control system were introduced, and the ...
QIAO Xianhua, CHEN Xinjian, LI Ning
doaj
Preliminary power train design for a state-of-the-art electric vehicle [PDF]
Power train designs which can be implemented within the current state-of-the-art were identified by means of a review of existing electric vehicles and suitable off-the-shelf components.
Hahn, W. F., Mighdoll, P.
core +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Electric Drive and Control System for Nanchang Metro Line 1 Vehicles
Dynamic performance parameters and electric drive system traction & braking characteristics of Nanchang metro line 1vehicles were introduced. Main circuit configuration and main equipment functions of vehicles were expounded, as well as electric ...
XIONG Jun
doaj

