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Data Compression Methodology for Electric Vehicle Battery Packs Utilizing Polynomial Coding

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Applied Linear Regression
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Efficient Lossy Compression for IoT Using SZ and Reconstruction with 1D U-Net
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Critical review and functional safety of a battery management system for large-scale lithium-ion battery pack technologies
inferredcites →https://doi.org/10.1016/c2015-0-06248-7openalex-snapshot
Introduction to Data Compression
inferredcites →https://doi.org/10.1016/j.apenergy.2016.08.140openalex-snapshot
Recording frequency optimization for massive battery data storage in battery management systems
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An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range
inferredcites →https://doi.org/10.1016/j.est.2020.101252openalex-snapshot
Massive battery pack data compression and reconstruction using a frequency division model in battery management systems
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Early Quality Classification and Prediction of Battery Cycle Life in Production Using Machine Learning
inferredcites →https://doi.org/10.1016/j.etran.2022.100186openalex-snapshot
Compressing and reconstructing the voltage data for lithium-ion batteries using model migration and un-equidistant sampling techniques
inferredcites →https://doi.org/10.1016/j.iot.2022.100516openalex-snapshot
Lossy Data Compression for IoT Sensors: A Review
inferredcites →https://doi.org/10.1016/j.proeng.2012.09.545openalex-snapshot
Modelling using Polynomial Regression
inferredcites →https://doi.org/10.1016/j.rser.2021.110801openalex-snapshot
Towards the future of smart electric vehicles: Digital twin technology
inferredcites →https://doi.org/10.1038/s41467-022-29837-wopenalex-snapshot
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
inferredcites →https://doi.org/10.1109/access.2019.2942213openalex-snapshot
State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review
inferredcites →https://doi.org/10.1109/access.2021.3068753openalex-snapshot
A Reliable Data Compression Scheme in Sensor-Cloud Systems Based on Edge Computing
inferredcites →https://doi.org/10.1109/ccdc.2019.8833008openalex-snapshot
SOC Estimation of Lithium Battery Based on N-2RC Model in Electric Vehicle
inferredcites →https://doi.org/10.1109/ictcs.2019.8923112openalex-snapshot
Compression Techniques Used in Iot: A Comparitive Study
inferredcites →https://doi.org/10.1109/tasl.2006.881705openalex-snapshot
Speech Compression by Polynomial Approximation
inferredcites →https://doi.org/10.1109/tte.2022.3170359openalex-snapshot
Hybrid Electrical Circuit Model and Deep Learning-Based Core Temperature Estimation of Lithium-Ion Battery Cell
inferredcites →https://doi.org/10.1145/3560814openalex-snapshot
Time Series Compression Survey
inferredcites →https://doi.org/10.17632/4fx8cjprxmopenalex-snapshot
Turnigy Graphene 5000mAh 65C Li-ion Battery Data
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Zeitreihendaten eines Fahrzyklus-Alterungstests von 28 Hochenergie NCA/C+Si Rundzellen des Typs 18650
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Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
inferredcites →https://doi.org/10.3390/batteries2020007openalex-snapshot
Fast Characterization Method for Modeling Battery Relaxation Voltage
inferredcites →https://doi.org/10.3390/wevj11040077openalex-snapshot
From Cell to Battery System in BEVs: Analysis of System Packing Efficiency and Cell Types
inferredcites →https://doi.org/10.5120/12039-7999openalex-snapshot
Fast Lossless Compression of Medical Images based on Polynomial
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