Battery-SoC-Estimation and Battery_SoC_Estimation
These are competitors offering alternative approaches to the same problem—one emphasizes physics-based hybrid modeling for SAE publication rigor, while the other focuses on stochastic methods—so practitioners would typically select based on their preference for interpretability versus statistical robustness rather than using both.
Maintenance
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Maturity
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Community
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Maintenance
0/25
Adoption
7/25
Maturity
8/25
Community
17/25
Stars: 32
Forks: 8
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Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 37
Forks: 9
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
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About Battery-SoC-Estimation
uw-mad-dash/Battery-SoC-Estimation
Data and code for the paper 'Estimating Battery State-of-Charge within 1% using Machine Learning and Physics-based Models' (SAE'23)
About Battery_SoC_Estimation
uslumt/Battery_SoC_Estimation
Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.
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