Lithium-ion batteries have emerged as the state-of-the-art energy storage for portable electronics, electrified vehicles, and smart grids. An enabling Battery Management System holds key efficient reliable system operation, in which State-of-Charge (SOC) estimation State-of-Health (SOH) monitoring are of particular importance. In this paper, an SOC SOH co-estimation scheme is proposed based on fractional-order calculus. First, a equivalent circuit model established parameterized using Hybrid...

Automatic diagnosing lung cancer from Computed Tomography (CT) scans involves two steps: detect all suspicious lesions (pulmonary nodules) and evaluate the whole-lung/pulmonary malignancy. Currently, there are many studies about first step, but few second step. Since existence of nodule does not definitely indicate cancer, morphology has a complicated relationship with diagnosis demands careful investigations on every integration information nodules. We propose 3D deep neural network to...

State of charge (SOC) estimation is a key issue in battery management systems. The challenge lies balancing the trade-off between accuracy and computation cost. To this end, we propose an alternate method by combining ampere-hour integral (AHI) which has low cost, adaptive extended Kalman filter (AEKF) method, high accuracy. technical viability verified on LiMnO2-LiNiO2 module with nominal capacity 130 Ah under New European Driving Cycle (NEDC) condition. Drifts current voltage measurement...

Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision are usually vulnerable adversarial attacks or common corruptions, which human visual system is robust. Recent studies found that regularizing machine favor brain-like representations can improve model robustness, but it unclear why. We hypothesize increased robustness partly due low spatial frequency preference inherited from neural representation. tested this...

Recently low displacement rank (LDR) matrices, or so-called structured have been proposed to compress large-scale neural networks. Empirical results shown that networks with weight matrices of LDR referred as networks, can achieve significant reduction in space and computational complexity while retaining high accuracy. We formally study deep learning. First, we prove the universal approximation property a mild condition on operators. then show error bounds are efficient general both...

The performance and parameters of Li-ion battery are greatly affected by temperature. As a significant parameter, state charge (SOC) is temperature during the estimation process. In this paper, an improved equivalent circuit model (IECM) considering influence ambient temperatures surface (BST) on based second-order RC have been proposed. exponential function fitting (EFF) method was used to identify at 5 including −10°C, 0°C, 10°C, 25°C 40°C, relationship between internal resistance BST....

It has been hypothesized that neural activities in the primary visual cortex (V1) represent a saliency map of field to exogenously guide attention. This hypothesis so far provided only qualitative predictions and their confirmations. We report this hypothesis’ first quantitative prediction, derived without free parameters, its confirmation by human behavioral data. The provides direct link between V1 responses location attention exogenously. In input containing many bars, one them saliently...

From a computational theory of V1, we formulate an optimization problem to investigate neural properties in the primary visual cortex (V1) from human reaction times (RTs) search. The is V1 saliency hypothesis that bottom-up any location represented by highest response it relative background responses. probed are those associated with less known neurons tuned simultaneously or conjunctively two feature dimensions. search find target bar unique color (C), orientation (O), motion direction (M),...

It has been debated whether kinematic features, such as the number of peaks or decomposed submovements in a velocity profile, indicate discrete motor impulses result from continuous control process. The debate is particularly relevant for tasks involving target perturbation, which can alter movement kinematics. To simulate tasks, finite-horizon models require two preset durations to compute policies before and after perturbation. Another model employs infinite- formulations determine,...

In recent years, coronavirus disease 2019 (COVID-19) has plagued the world, causing huge losses to lives and property of people worldwide. How simulate spread an epidemic with a reasonable mathematical model then use it analyze predict its development trend attracted attention scholars from different fields. Based on susceptible–infected–recovered (SIR) propagation model, this work proposes susceptible–exposed–infected–recovered–dead (SEIRD) by introducing specific medium having many changes...

Thermal modelling for lithium ion batteries is important to evaluate battery thermal safety and refine designs. To develop a reliable efficient model, the following key factors needs be addressed: techniques accurately determine parameters heat generation rates, reasonably simplified thermo-electrical equations experimental validation. In this study, new transient method developed measure of large-format laminated battery. The reversible irreversible rates were measured different states...

The world is severely impacted by the coronavirus (COVID19). During epidemic, logistics service, an often-overlooked pillar of modern society, steps into spotlight. However, service capability inevitably weakened epidemic. fatigued providers are increasingly unable to meet high expectations users, who therefore leave harsh comments on services. It important for managers find information that helps improve management, out biased and angry comments. Text sentiment analysis a fundamental work...

Accurate SOC estimation is a significant important parameter for the battery management system (BMS) and it basis adjusting usage strategy charging strategy. Both Adaptive Kalman Filter Ampere-hour counting method are current methods to estimate SOC. based on model-based provide robust performance due their sustained error correction mechanism through closed-loop feedback. (AEKF) can quickly obtain accurate even with large initial high drift of measurement. (AHC) simplest popular However,...

Modeling stereo transparency with physiologically plausible mechanisms is challenging because in such frameworks, large receptive fields mix up overlapping disparities, whereas small can reliably compute only disparities. It seems necessary to combine information across scales. A coarse-to-fine disparity energy model, both position- and phase-shift fields, has already been proposed. However, each scale decodes one for location uses the decoded select cells at next scale, this model cannot...

In this study, resistances of charging and discharging process were distinguished both by current-interrupt technique in time-domain dynamic electrochemical impedance spectroscopy (DEIS) frequency-domain. It is found that when the SOC varies from 0 to 0.4, are larger than process. However, difference between these two decrease as increases, then almost equal range 0.4 0.8. Then increases further approaches 1.0, latter resistance exceeds former one. A mathematical model fit voltage change...

The Mou Estate in Qixia City, Shandong Province is listed as an important heritage site under state protection. In view of its cluttered environment and dilapidated buildings, the renovation plan puts forward three protection strategies: preserving traditional mode production way life, protecting village's overall utilizing local building materials for renovation, with old particularly preferred. Thus mass demolition total reconstruction can be avoided. Historical development, spatial...