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Accepts battery parameters (capacity, current/target SoC, max power) and returns a cost-minimized charging schedule with per-interval power, SoC progression, and total cost — no manual duration calculation needed. Supports fixed, continuous (min_charge_power_w), and stepped (charge_power_steps_w) charging modes, deadline-aware two-pass planning (must_reach_soc + must_reach_by / must_reach_by_event), and round-trip economics (expected_discharge_price, reserve_for_discharge, max_cost_per_kwh) for arbitrage use cases. Includes min_charge_duration and max_cycles_per_day constraints. Groups deadline fields (must_reach_soc_*, must_reach_by, must_reach_by_event) into a dedicated section so a deadline use case can be configured in one place. Battery section lists capacity before the percent SoC fields that depend on it. Response exposes stable reason codes (already_at_target, energy_unreachable, energy_unreachable_by_ deadline, no_intervals_after_economic_filter, …) documented in the service description and user docs. |
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|---|---|---|
| .. | ||
| charging | ||
| __init__.py | ||
| debug_clear_tomorrow.py | ||
| entity_resolver.py | ||
| find_cheapest_block.py | ||
| find_cheapest_hours.py | ||
| find_cheapest_schedule.py | ||
| find_most_expensive_block.py | ||
| find_most_expensive_hours.py | ||
| formatters.py | ||
| get_apexcharts_yaml.py | ||
| get_chartdata.py | ||
| get_price.py | ||
| helpers.py | ||
| plan_charging.py | ||
| refresh_user_data.py | ||
| relaxation.py | ||