ROVI-org / auto-soh

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• combine-components
• WardLT-patch-1
• add-mle
• add-priors
• alter-dual-estimator
• annotate-vars
• api-doc
• asoh_template_fix
• batching
• batdata
• battdat-update
• battdat_from_git
• cache-interp
• cell-transform
• contributing_guidelines
• correct-factors
• dataset-to-table
• degradation_model
• doc-degrade
• doc-new-estimator
• doc-normalization
• dual_estimation
• dual_normalization
• dualukf-idea
• ecm_clean
• ecm_simulator
• ecmasoh_energy
• estimation_metrics
• estimator_init_from_wrap
• estimator_normalization
• extract-from-raw
• fail-if-unknown
• fix-ci
• fix-ci-mamba
• fix-gh-pages
• fix-sign
• fix_coverage_badge
• fix_ecm_broadcast
• fix_ecmasoh_updatable
• ghpages
• git-version
• hdf5-to-asoh
• hdf5-writer-refactor
• hdf5_estimates
• hdf_writer_fix
• health-variable
• interpolation_foes
• investigate_dual
• issue_templates
• joint_ukf
• main
• model-closure
• name-expand
• no-cell-dataset
• no-h5py
• nonlinear_transform
• ocv-extractor
• offline_differential-evolution
• offline_global-opt
• offline_rework
• online_base
• online_revamp
• override-input-class
• partial-transients
• pass-input-types
• perf-tests
• polish-r0
• pydantic-progpy
• quick_cap_extract_fix
• r0_extract_interp1d
• r0estimator
• rc-extractor
• rc_extract_add_steps
• rc_extract_minor_fix
• rc_extract_new
• rc_extractor_sign_fix
• reduce-copies
• rename
• rename_estimator_wrappers
• run-model
• setuptools-scm
• simulator-udpate
• soc-serialize
• stream-from-h5
• test-transients
• thevenin
• thevenin-predictor
• thevenin-to-c
• thevenin-update
• thevenin-with-hyst
• thevenin-zero-timestep
• to-pytables
• tofromjson
• trim-classes
• ukf_begin
• update-camp-example
• update-thevenin
• use-isotonic-regression
• v0.0.1
• v0.0.2
• v0.0.3
• walkthrough

Build # 14739253399

Build Type

Pull #151

github

Committed by WardLT

Commit Message

Update the notebooks

Pull Request Pull Request #151: Use the same classes for SOC-dependent ASOH

Run Details

146 of 150 new or added lines in 8 files covered. (97.33%)

2069 of 2159 relevant lines covered (95.83%)

0.96 hits per line