Transition metal molybdates have been studied as anode materials for high-performance lithium-ion batteries, owing to their high theoretical capacity and low cost, well the multivalent states of molybdenum. However, electrochemical performance is hindered by poor conductivity large volume changes during charge discharge. Here, we report lithium molybdate (Li2MoO4) composited with carbon nanofibers (Li2MoO4@CNF) an material batteries. Li2MoO4 shows a shot-rod nanoparticle morphology that...

Tactile sensors have been playing a crucial role in the operation of robot hands, especially analysis grasping stability. However, current three–dimensional (3-D) force generally adopt single sensing transduction(such as capacitive 3-D sensor only includes capacitance transduction) and output coupled signals, lacking accurate decoupling. Here, we present with self-decoupling by combining magnetic piezoresistive transduction. Based on characteristics axially magnetized circular magnet,...

A submetric spatial resolution Raman optical time-domain reflectometry (ROTDR) temperature sensor assisted by the Wiener deconvolution postprocessing algorithm has been proposed and experimentally demonstrated. Without modifying typical configuration of ROTDR adopted pump pulse width, demodulation is able to recover perturbations a smaller scale deconvoluting acquired Stokes anti-Stokes signals. Numerical simulations have conducted analyze achieved algorithm. Assisted algorithm, adopting...

During railway operations, trains normally run as scheduled, but the occurrence of unexpected events will disrupt traffic flow and cause train deviation from original timetable. In or- der to assist dispatchers in rescheduling trains, this paper introduces an innovative Human- Computer Interaction framework. This framework enables propose different timetable adjustment instructions or adjusted These be processed, stored, analyzed, digested by computer program, which finally leads...

This paper studies the system structure of smart distribution grid. It establishes group communication model according to characteristics Based on analysis information security grid, integrated with cryptography theory we design a scheme. The scheme adopt method hierarchical key management, which can achieves identity authentication and message integrity during generation process. effectively avoids behavior such as illegal access, eavesdropping camouflage. experiment provides performance...

Abstract Dynamic IR drop prediction based on machine learning has been studied in recent years. However, most proposed models used all input features extracted from circuits or manually selected parts of raw as inputs, which failed to differentiate the order priority among a flexible manner. In this paper, QuantumForest vector‐based dynamic is introduced. With sparse attention mechanism brought by QuantumForest, important attributes are weighed more heavily than others. A new multi‐view...

The new power system has put forward higher requirements for the reliability of supply. As electrical energy conversion device, research on fault diagnosis method motor provides strong support In this paper, motor-bearing types is studied. frequency domain extraction and EMD information entropy are used to extract characteristics data. Then, decision tree model trained tested by using feature data set. experimental results show that diagnostic accuracy rate only 85.67%, macro F1 score...

Efficient and low-cost battery heating is particularly significant for recovering the available capacity power of batteries at low temperatures. This paper proposes an adaptive mutual pulse (MPH) method to achieve on-board batteries, reusing drive circuitry as heaters without any extra devices. To this end, a dual cubature Kalman filter-based co-estimator developed based on electrothermal model capture state charge (SOC), core temperature, equivalent electrical parameters under rapid...

Battery core temperature estimation plays a key role in developing efficient thermal management systems. This paper proposes novel model-predictive cubature Kalman filter (CKF) to obtain high accuracy estimation. Considering the characteristics of cylindrical battery cells, lumped two-layer model is first formulated. The parameters are identified offline based on high-fidelity finite element combined with particle swarm optimization. Then, law error developed by prediction filter, which...

<div class="section abstract"><div class="htmlview paragraph">The temperature monitoring of the lithium-ion battery is crucial for advanced thermal management systems (BTMS) to improve performance and ensure operational safety reliability system. In real applications, core unfortunately unmeasurable due impracticality placing a sensor inside core, has be estimated online in real-time. Meanwhile, only measurement surface can not meet need BTMS impact large gradient between...

A measuring system is developed for diagnostics of the electron energy distribution function (EEDF) in a electrodeless low pressure rf discharge with triple-probe by using probe-current modulation method. The EEDF nitrogen plasma range 10-3-10-1 Torr are obtained. effect voltage penetrating probe sheath on determination studied both theoretically and experimentally. new approach used to estimate value calculate actual EED from distorted recorded during experiments presented experimental...