Search Results for author: Xiaojun Li

Found 11 papers, 0 papers with code

Battery Cloud with Advanced Algorithms

no code implementations7 Mar 2022 Xiaojun Li, David Jauernig, Mengzhu Gao, Trevor Jones

A Battery Cloud or cloud battery management system leverages the cloud computational power and data storage to improve battery safety, performance, and economy.

Anomaly Detection Management

Analysis and optimization of a novel energy storage flywheel for improved energy capacity

no code implementations20 Feb 2022 Xiaojun Li, Alan Palazzolo

It is found that the shaftless flywheel design approach can double the energy density level when compared to typical designs.

Voltage-Based State of Charge Correction at Charge-End

no code implementations7 Jan 2022 Ali Abdollahi, Jianwei Li, Xiaojun Li, Trevor Jones, Asif Habeebullah

The amount of correction is a function of maximum cell voltage and the charge current C-rate.

Time-Domain Doppler Biomotion Detections Immune to Unavoidable DC Offsets

no code implementations29 Jun 2021 Qinyi Lv, Lingtong Min, Congqi Cao, Shigang Zhou, Deyun Zhou, Chengkai Zhu, Yun Li, Zhongbo Zhu, Xiaojun Li, Lixin Ran

In the past decades, continuous Doppler radar sensor-based bio-signal detections have attracted many research interests.

Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering

no code implementations16 Mar 2021 Xiaojun Li, Jianwei Li, Ali Abdollahi, Trevor Jones

We propose a data-driven method to detect battery thermal anomaly based on comparing shape-similarity between thermal measurements.

Anomaly Detection Clustering

A Combination 5-DOF Active Magnetic Bearing For Energy Storage Flywheel

no code implementations14 Mar 2021 Xiaojun Li, Alan Palazzolo, Zhiyang Wang

The finite element method (FEM) is too computationally intensive for early-stage analysis.

A review of flywheel energy storage systems: state of the art and opportunities

no code implementations9 Mar 2021 Xiaojun Li, Alan Palazzolo

Thanks to the unique advantages such as long life cycles, high power density, minimal environmental impact, and high power quality such as fast response and voltage stability, the flywheel/kinetic energy storage system (FESS) is gaining attention recently.

Perception-oriented Single Image Super-Resolution via Dual Relativistic Average Generative Adversarial Networks

no code implementations8 Nov 2019 Yuan Ma, Kewen Liu, Hongxia Xiong, Panpan Fang, Xiaojun Li, Yalei Chen, Chaoyang Liu

The presence of residual and dense neural networks which greatly promotes the development of image Super-Resolution(SR) have witnessed a lot of impressive results.

Image Super-Resolution SSIM

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