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A battery profile describes a battery model: the charge and discharge limit
maps over temperature and SoC, the charge and discharge efficiency curves
over C-rate, the technical SoC bounds, the hard temperature cutoffs and,
for a model, its nominal capacity and power limits. EOS packages the
generic profile generic-lfp; users add their own profiles.
A battery or electric vehicle selects its profile by battery_profile and
describes how the installation differs from it in profile_adjustment
(capacity, power limits of the installation, periodic full charge). The
effective values are resolved from both at the measured operating point
(temperature, SoC, power) and shown as effective_* fields.
The GENETIC simulation uses the limits and efficiencies of the profile over
SoC, with precomputed tables as a fast path; GENETIC0 gets the values at the
operating point. Optimization parameters are always valid: a battery whose
profile is missing, unreadable or invalid uses the packaged generic-lfp
profile, and the former defaults only if that is not usable either; each is
logged as error, and an optimization run is never cancelled because of a
battery.
Additional changes
- Add a generic device profile store: user and packaged profiles, atomic
saves, compiled profiles cached per file and checked again at most once a
second, plain file names as profile names ('schema' is reserved). On
Windows, a save or read that collides with the other is retried briefly.
- Add the REST API /v1/profile to list the profile kinds and to list, read
(document and JSON schema), save and delete profiles.
- Check the hard temperature cutoffs on the exact temperature.
- Resolve inhibited charging or discharging to a power of 0, e.g. for a cold
battery; give GENETIC0 its own discharge limit for that.
- Limit generic profiles without own power limits to the former 5000 W.
- Accept only the implemented units; current limits need the nominal
voltage.
- Migrate legacy battery settings into the profile adjustment, keep the
former charge power limit as discharge limit (also for a Home Assistant
entity on it) and report dropped efficiencies as errors.
- Limit GENETIC battery discharge by the discharge power.
- Allow battery profile lookups while the configuration is created.
- Resolve a battery once per configuration dump.
- Package the bundled profiles, document battery profiles and regenerate
the configuration and OpenAPI documentation.
- Ignore the report PDFs written by the visualization tests.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Assisted-by: Claude Code (claude-opus-5-5)
87 lines
2.0 KiB
JSON
87 lines
2.0 KiB
JSON
{
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"general": {
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"version": "__ANY__",
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"data_output_subpath": "output",
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"latitude": 52.5,
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"longitude": 13.4
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},
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"cache": {
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"subpath": "cache"
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},
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"logging": {
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"console_level": "INFO"
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},
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"devices": {
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"batteries": {
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"pv_akku": {
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"device_id": "pv_akku",
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"profile_adjustment": {
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"nominal_capacity_wh": 30000
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}
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}
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},
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"electric_vehicles": {
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"ev0": {
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"device_id": "ev0",
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"charge_rates": [
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0.0,
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0.375,
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0.5,
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0.625,
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0.75,
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0.875,
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1.0
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]
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}
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}
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},
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"measurement": {
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"load_emr_keys": [
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"Household"
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]
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},
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"optimization": {
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"genetic0": {
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"horizon_hours": 48
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}
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},
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"elecprice": {
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"provider": "ElecPriceAkkudoktor"
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},
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"load": {
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"loadakkudoktor": {
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"loadakkudoktor_year_energy_kwh": 13000.0
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}
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},
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"pvforecast": {
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"provider": "PVForecastAkkudoktor",
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"planes": [
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{
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"surface_tilt": 87.907,
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"surface_azimuth": 175.0,
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"userhorizon": [
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28.0,
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34.0,
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32.0,
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60.0
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],
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"peakpower": 13.11,
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"loss": 18.6,
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"trackingtype": 0,
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"albedo": 0.25,
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"inverter_paco": 15000,
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"modules_per_string": 20,
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"strings_per_inverter": 2
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}
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]
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},
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"weather": {
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"provider": "WeatherImport"
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},
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"server": {
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"host": "0.0.0.0",
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"verbose": true,
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"eosdash_host": "0.0.0.0"
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}
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}
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