li-ion-soc-soh-toolkit
Li-ion SOC/SOH estimation library (C99, zero-dependency) + PC calibration toolchain (Ah integration + OCV resync + EKF), with HPPC parameter identification scripts
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GITHUB · launched Sep 20, 2026 · 20 upvotes (top 39%) · 0 views
Niche: embedded systems and firmware utilities · 239 launches, 4 in the last 7 days ▼ -76% · Explore this niche →
Category and tags
- Energy & climate
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 239 launches in embedded systems and firmware utilities →
Could you build this?
No Implementing Extended Kalman Filtering (EKF) and HPPC parameter identification for battery State of Charge/Health requires deep domain knowledge in electrochemical cell dynamics, control theory, and embedded C99 numerical methods.
What it would actually take: The stack consists of zero-dependency C99 for embedded targets coupled with Python/MATLAB scripts for parameter identification. Development requires battery electrochemical modeling (equivalent circuit models like Thevenin models), HPPC test curve fitting, matrix math for EKF/UKF state estimators, and specialized hardware testing rigs for validation.
Competitors
Other products that read as similar to this one : 1430 launches clear the similarity bar, closest 8 shown.
Attention rank: #558 of 1431 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 324 days after the earliest competitor.
- my-little-trie-forge · github · 2026-10-02 · 11 upvotes · similarity 0.54
- SpaceRangersHD_FPC · github · 2026-09-15 · 11 upvotes · similarity 0.51
- siltop · github · 2026-10-16 · 34 upvotes · similarity 0.50
- LLM Inference Calculator · hn · 2026-08-28 · 6 upvotes · similarity 0.49
- dsh-eval-control · github · 2026-10-09 · 16 upvotes · similarity 0.49
- Deepseek-DSH-MCP · github · 2026-09-29 · 15 upvotes · similarity 0.48
- go-ssdp · github · 2026-10-14 · 11 upvotes · similarity 0.48
- tinysd · github · 2026-10-24 · 78 upvotes · similarity 0.48
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