v2025.10.1 - new Battery-Model

What's Changed

NOTE: Breaking Release

• adds config, simulation model and simulator for a battery model
  • The battery model was extended to support simulating various capacitors and replaces the previous capacitor-model
• available simulation models are
  • the original KiBaM model
  • the extended KiBaMPlus
  • the simplified KiBaMSimple
  • the actual fixed-point VirtualStorageModel for the PRU (based on KiBaMSimple)
• fixtures are generated via virtual_storage_fixture_creator.py, try to mimic actual parts and cover
  • some LiPos & Lead Acid batteries
  • ideal capacitors
  • tantals
  • MLCC (with planned DC-Bias-Effect)
  • super-caps
• core/examples/simulations contains several virtual experiments comparing these models
• fixed regressions in Shp.Reader() to restore performance of virtual harvester
• adapt py-port of virtual harvester to latest c-code

Modifications to KiBam by @jonkub:

• omit transient voltages (step 4 & 5, expensive calculation)
• omit rate capacity effect (step 1, expensive calculation)
• replace two expensive Fn by LuT
  • mapping SoC to open circuit voltage (step 3)
  • mapping SoC to series resistance (step 4)
• add self discharge resistance (step 2a)
• support signaling 0 % SoC by nulling voltage

Compared to the current shepherd capacitor (charge-based), it:

• supports emulation of battery types like lipo and lead acid (non-linear SOC-to-V_OC mapping)
• has a parallel leakage resistor instead of an oversimplified leakage current
• a series resistance is added to improve model matching
• as a drawback the open circuit voltage is quantified and shows steps (LuT with 128 entries)

Full Changelog: v2025.08.1...v2025.10.1