As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imagi...
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As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.
Plasma-assisted combustion technology has been a hot spot in aero-engines *** electron density is a key discharge parameter related to the *** latter has been considered playing an important role in the above applicat...
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Plasma-assisted combustion technology has been a hot spot in aero-engines *** electron density is a key discharge parameter related to the *** latter has been considered playing an important role in the above applications bythe kinetic *** this work,an atmospheric pressure air plasma collisional-radiative model con-sidering the excited states of atomic nitrogen and oxygen is built based on previous widely kineticinvestigations of molecules and radicals,as well as their excited *** excited states,especiallythe atomic nitrogen and oxygen states were less investigated in previous *** emission inten-sity distributions from the model have a good agreement with those measured in the glide arcplasma with two discharge modes,as well as the microwave *** on the kinetics of molec-ular and atomic emitting states,the line-ratio method is presented to determine the electron *** N_(2)(337 nm)/O(844 nm)and N_(2)(337 nm)/NO(γ)line ratios are used for the glide arc plasma andmicrowave plasma torch,***,the kinetics of the excited states involved with twoline-ratios are also investigated in the two types of *** with the atmospheric pres-sure actinometry method,the kinetic effect of the plasma-assisted combustion can be revealed quan-titatively in the future.
EMI conducted noise is becoming increasingly important in powerconversionsystems, and various analysis methods are being researched. The proposed method enables accurate EMI conducted noise analysis by extracting pa...
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EMI conducted noise is becoming increasingly important in powerconversionsystems, and various analysis methods are being researched. The proposed method enables accurate EMI conducted noise analysis by extracting partial element equivalent circuits from the 3D structure of power cables and PCBs, and the extracted model can be interpreted in SPICE simulations. The implemented inverter operation mode of Totem-Pole bridge-less PFC in the EMI conducted noise analysis simulation model shows a good correlation between simulation results and experimental results in all CE bands. Furthermore, this method identifies the main causes of EMI noise through CM (Common Mode) and DM (Differential Mode) noise analysis, and proposes a method to effectively attenuate EMI noise through CM coil modeling. Therefore, the EMI conduction noise analysis method using simulation models allows for efficient prediction of EMI conduction noise in advance. Copyright The Korean Institute of Electrical Engineers.
Tough elastomers and gels have garnered broad research interest due to their wide-ranging potential ***,during the loading and unloading cycles,a clear stress softening behavior can be observed in many material system...
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Tough elastomers and gels have garnered broad research interest due to their wide-ranging potential ***,during the loading and unloading cycles,a clear stress softening behavior can be observed in many material systems,which is also named as the Mullins *** this work,we aim to provide a complete review of the Mullins effect in soft yet tough materials,specifically focusing on nanocomposite gels,double-network hydrogels,and multi-network *** first revisit the experimental observations for these soft *** then discuss the recent developments of constitutive models,emphasizing novel developments in the damage mechanisms or network *** phenomenological models will also be briefly *** attention is then placed on the anisotropic and multiaxial modeling *** is demonstrated that most of the existing models fail to accurately predict the multiaxial data,posing a significant challenge for developing future anisotropic models tailored for tough gels and elastomers.
This paper presents magnetic integration provides an accurate method for the fully utilizing the magnetizing curves of several magnetic components by integrating into one magnetic core in order to achieve a lighter an...
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This article is based on molecular dynamics simulation technology and simulates the effects of different types of POSS doping on key properties such as glass transition temperature and mechanical properties of PI comp...
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Polyimide material can handle high temperatures and has good insulation. When spacecraft and satellites work in space, the vacuum dielectric interface is most likely to have electrical discharge. The study looks at ho...
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In both powersystems and aerospace electrical fields, with the increasing application voltage levels of equipment, the use of traditional polyimide (PI) films as insulation materials is prone to corona discharge and ...
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The flow field structure on the bipolar plate significantly affects the performance of the proton exchange membrane electrolysis cell(PEMEC).This paper proposes a new interdigitated-jet hole flow field(JHFF)design to ...
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The flow field structure on the bipolar plate significantly affects the performance of the proton exchange membrane electrolysis cell(PEMEC).This paper proposes a new interdigitated-jet hole flow field(JHFF)design to improve the uniformities of liquid saturation,temperature,and current density *** common single-path serpentine flow field(SSFF)and interdigitated flow field(IFF)are used as comparative references to constitute three PEMEC *** advanced numerical model has been established to simulate the performance of the PEMEC using CFD *** results show that,due to the perpendicular mainstream and the pressure difference,the JHFF enhances the mass and heat transfer inside the porous electrode by introducing strong forced convection,which promotes gas removal underneath the ribs and *** with the comparative flow fields,the uniformities of liquid saturation,temperature,and current density distributions by using the JHFF at the anode side are increased by 19.1%,53.2%,and 40.4%,***,mainly owing to the largest conductive area,the PEMEC with the JHFF has superior polarization performance,which is 8.05%higher than the PEMEC with the SSFF.
This paper introduces a target tracking control approach for an underactuated Unmanned Surface Vehicle (USV) with 6 Degrees of Freedom (6-DoF), characterized by unknown dynamics and disturbances. Notably, the system i...
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This paper introduces a target tracking control approach for an underactuated Unmanned Surface Vehicle (USV) with 6 Degrees of Freedom (6-DoF), characterized by unknown dynamics and disturbances. Notably, the system inertia matrix of this 6-DoF USV is positive definite and non-diagonal, implying the presence of intricate coupling relationships within the input vector components. To address the challenges posed by underactuation, we present an adaptive control methodology utilizing a novel transverse function and backstepping procedure. Furthermore, we introduce a dynamic signal to compensate for external dynamic uncertainties and disturbances. Leveraging Lyapunov stability theory, we establish that the target tracking error converges to a small neighborhood near the origin, and all signals within the closed-loop system remain bounded. Lastly, we showcase the effectiveness of the proposed control methodology through simulation results involving a 6-DoF supply vehicle. IEEE
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