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translation of battery.py v3 (#262)
This commit is contained in:
Normann
GitHub
@@ -10,345 +10,279 @@ from akkudoktoreos.utils.utils import NumpyEncoder
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logger = get_logger(__name__)
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def max_ladeleistung_w_field(default: Optional[float] = None) -> Optional[float]:
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def max_charging_power_field(description: Optional[str] = None) -> float:
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if description is None:
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description = "Maximum charging power in watts."
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return Field(
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default=default,
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default=5000,
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gt=0,
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description="An integer representing the charging power of the battery in watts.",
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description=description,
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)
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def start_soc_prozent_field(description: str) -> int:
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def initial_soc_percentage_field(description: str) -> int:
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return Field(default=0, ge=0, le=100, description=description)
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class BaseAkkuParameters(BaseModel):
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kapazitaet_wh: int = Field(
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class BaseBatteryParameters(BaseModel):
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"""Base class for battery parameters with fields for capacity, efficiency, and state of charge."""
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capacity_wh: int = Field(
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gt=0, description="An integer representing the capacity of the battery in watt-hours."
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)
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lade_effizienz: float = Field(
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charging_efficiency: float = Field(
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default=0.88,
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gt=0,
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le=1,
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description="A float representing the charging efficiency of the battery.",
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)
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entlade_effizienz: float = Field(default=0.88, gt=0, le=1)
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max_ladeleistung_w: Optional[float] = max_ladeleistung_w_field()
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start_soc_prozent: int = start_soc_prozent_field(
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discharging_efficiency: float = Field(
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default=0.88,
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gt=0,
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le=1,
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description="A float representing the discharge efficiency of the battery.",
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)
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max_charge_power_w: Optional[float] = max_charging_power_field()
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initial_soc_percentage: int = initial_soc_percentage_field(
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"An integer representing the state of charge of the battery at the **start** of the current hour (not the current state)."
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)
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min_soc_prozent: int = Field(
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min_soc_percentage: int = Field(
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default=0,
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ge=0,
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le=100,
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description="An integer representing the minimum state of charge (SOC) of the battery in percentage.",
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)
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max_soc_prozent: int = Field(default=100, ge=0, le=100)
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max_soc_percentage: int = Field(
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default=100,
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ge=0,
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le=100,
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description="An integer representing the maximum state of charge (SOC) of the battery in percentage.",
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)
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class PVAkkuParameters(BaseAkkuParameters):
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max_ladeleistung_w: Optional[float] = max_ladeleistung_w_field(5000)
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class SolarPanelBatteryParameters(BaseBatteryParameters):
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max_charge_power_w: Optional[float] = max_charging_power_field()
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class EAutoParameters(BaseAkkuParameters):
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entlade_effizienz: float = 1.0
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start_soc_prozent: int = start_soc_prozent_field(
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class ElectricVehicleParameters(BaseBatteryParameters):
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"""Parameters specific to an electric vehicle (EV)."""
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discharging_efficiency: float = 1.0
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initial_soc_percentage: int = initial_soc_percentage_field(
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"An integer representing the current state of charge (SOC) of the battery in percentage."
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)
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class EAutoResult(BaseModel):
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"""This object contains information related to the electric vehicle and its charging and discharging behavior."""
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class ElectricVehicleResult(BaseModel):
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"""Result class containing information related to the electric vehicle's charging and discharging behavior."""
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charge_array: list[float] = Field(
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description="Indicates for each hour whether the EV is charging (`0` for no charging, `1` for charging)."
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description="Hourly charging status (0 for no charging, 1 for charging)."
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)
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discharge_array: list[int] = Field(
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description="Indicates for each hour whether the EV is discharging (`0` for no discharging, `1` for discharging)."
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description="Hourly discharging status (0 for no discharging, 1 for discharging)."
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)
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entlade_effizienz: float = Field(description="The discharge efficiency as a float.")
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hours: int = Field(description="Amount of hours the simulation is done for.")
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kapazitaet_wh: int = Field(description="The capacity of the EV’s battery in watt-hours.")
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lade_effizienz: float = Field(description="The charging efficiency as a float.")
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max_ladeleistung_w: int = Field(description="The maximum charging power of the EV in watts.")
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discharging_efficiency: float = Field(description="The discharge efficiency as a float..")
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hours: int = Field(description="Number of hours in the simulation.")
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capacity_wh: int = Field(description="Capacity of the EV’s battery in watt-hours.")
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charging_efficiency: float = Field(description="Charging efficiency as a float..")
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max_charge_power_w: int = Field(description="Maximum charging power in watts.")
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soc_wh: float = Field(
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description="The state of charge of the battery in watt-hours at the start of the simulation."
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description="State of charge of the battery in watt-hours at the start of the simulation."
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)
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start_soc_prozent: int = Field(
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description="The state of charge of the battery in percentage at the start of the simulation."
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initial_soc_percentage: int = Field(
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description="State of charge at the start of the simulation in percentage."
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)
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@field_validator(
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"discharge_array",
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"charge_array",
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mode="before",
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)
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@field_validator("discharge_array", "charge_array", mode="before")
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def convert_numpy(cls, field: Any) -> Any:
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return NumpyEncoder.convert_numpy(field)[0]
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class PVAkku(DeviceBase):
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class Battery(DeviceBase):
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"""Represents a battery device with methods to simulate energy charging and discharging."""
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def __init__(
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self,
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parameters: Optional[BaseAkkuParameters] = None,
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parameters: Optional[BaseBatteryParameters] = None,
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hours: Optional[int] = 24,
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provider_id: Optional[str] = None,
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):
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# Configuration initialisation
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# Initialize configuration and parameters
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self.provider_id = provider_id
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self.prefix = "<invalid>"
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if self.provider_id == "GenericBattery":
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self.prefix = "battery"
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elif self.provider_id == "GenericBEV":
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self.prefix = "bev"
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# Parameter initialisiation
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self.parameters = parameters
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if hours is None:
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self.hours = self.total_hours
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self.hours = self.total_hours # TODO where does that come from?
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else:
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self.hours = hours
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self.initialised = False
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# Run setup if parameters are given, otherwise setup() has to be called later when the config is initialised.
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if self.parameters is not None:
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self.setup()
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def setup(self) -> None:
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"""Sets up the battery parameters based on configuration or provided parameters."""
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if self.initialised:
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return
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if self.provider_id is not None:
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# Setup by configuration
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# Battery capacity in Wh
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self.kapazitaet_wh = getattr(self.config, f"{self.prefix}_capacity")
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# Initial state of charge in Wh
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self.start_soc_prozent = getattr(self.config, f"{self.prefix}_soc_start")
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self.hours = self.total_hours
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# Charge and discharge efficiency
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self.lade_effizienz = getattr(self.config, f"{self.prefix}_charge_efficiency")
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self.entlade_effizienz = getattr(self.config, f"{self.prefix}_discharge_efficiency")
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self.max_ladeleistung_w = getattr(self.config, f"{self.prefix}_charge_power_max")
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# Only assign for storage battery
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if self.provider_id:
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# Setup from configuration
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self.capacity_wh = getattr(self.config, f"{self.prefix}_capacity")
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self.initial_soc_percentage = getattr(self.config, f"{self.prefix}_initial_soc")
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self.hours = self.total_hours # TODO where does that come from?
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self.charging_efficiency = getattr(self.config, f"{self.prefix}_charging_efficiency")
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self.discharging_efficiency = getattr(
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self.config, f"{self.prefix}_discharging_efficiency"
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)
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self.max_charge_power_w = getattr(self.config, f"{self.prefix}_max_charging_power")
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if self.provider_id == "GenericBattery":
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self.min_soc_prozent = getattr(self.config, f"{self.prefix}_soc_mint")
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self.min_soc_percentage = getattr(
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self.config,
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f"{self.prefix}_soc_min",
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)
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else:
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self.min_soc_prozent = 0
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self.max_soc_prozent = getattr(self.config, f"{self.prefix}_soc_mint")
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elif self.parameters is not None:
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# Setup by parameters
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# Battery capacity in Wh
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self.kapazitaet_wh = self.parameters.kapazitaet_wh
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# Initial state of charge in Wh
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self.start_soc_prozent = self.parameters.start_soc_prozent
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# Charge and discharge efficiency
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self.lade_effizienz = self.parameters.lade_effizienz
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self.entlade_effizienz = self.parameters.entlade_effizienz
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self.max_ladeleistung_w = self.parameters.max_ladeleistung_w
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self.min_soc_percentage = 0
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self.max_soc_percentage = getattr(
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self.config,
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f"{self.prefix}_soc_max",
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)
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elif self.parameters:
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# Setup from parameters
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self.capacity_wh = self.parameters.capacity_wh
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self.initial_soc_percentage = self.parameters.initial_soc_percentage
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self.charging_efficiency = self.parameters.charging_efficiency
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self.discharging_efficiency = self.parameters.discharging_efficiency
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self.max_charge_power_w = self.parameters.max_charge_power_w
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# Only assign for storage battery
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self.min_soc_prozent = (
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self.parameters.min_soc_prozent
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if isinstance(self.parameters, PVAkkuParameters)
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self.min_soc_percentage = (
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self.parameters.min_soc_percentage
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if isinstance(self.parameters, SolarPanelBatteryParameters)
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else 0
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)
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self.max_soc_prozent = self.parameters.max_soc_prozent
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self.max_soc_percentage = self.parameters.max_soc_percentage
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else:
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error_msg = "Parameters and provider ID missing. Can't instantiate."
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error_msg = "Parameters and provider ID are missing. Cannot instantiate."
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logger.error(error_msg)
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raise ValueError(error_msg)
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# init
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if self.max_ladeleistung_w is None:
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self.max_ladeleistung_w = self.kapazitaet_wh
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# Initialize state of charge
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if self.max_charge_power_w is None:
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self.max_charge_power_w = self.capacity_wh # TODO this should not be equal capacity_wh
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self.discharge_array = np.full(self.hours, 1)
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self.charge_array = np.full(self.hours, 1)
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# Calculate start, min and max SoC in Wh
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self.soc_wh = (self.start_soc_prozent / 100) * self.kapazitaet_wh
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self.min_soc_wh = (self.min_soc_prozent / 100) * self.kapazitaet_wh
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self.max_soc_wh = (self.max_soc_prozent / 100) * self.kapazitaet_wh
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self.soc_wh = (self.initial_soc_percentage / 100) * self.capacity_wh
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self.min_soc_wh = (self.min_soc_percentage / 100) * self.capacity_wh
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self.max_soc_wh = (self.max_soc_percentage / 100) * self.capacity_wh
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self.initialised = True
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def to_dict(self) -> dict[str, Any]:
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"""Converts the object to a dictionary representation."""
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return {
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"kapazitaet_wh": self.kapazitaet_wh,
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"start_soc_prozent": self.start_soc_prozent,
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"capacity_wh": self.capacity_wh,
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"initial_soc_percentage": self.initial_soc_percentage,
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"soc_wh": self.soc_wh,
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"hours": self.hours,
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"discharge_array": self.discharge_array,
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"charge_array": self.charge_array,
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"lade_effizienz": self.lade_effizienz,
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"entlade_effizienz": self.entlade_effizienz,
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"max_ladeleistung_w": self.max_ladeleistung_w,
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"charging_efficiency": self.charging_efficiency,
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"discharging_efficiency": self.discharging_efficiency,
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"max_charge_power_w": self.max_charge_power_w,
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}
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def reset(self) -> None:
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self.soc_wh = (self.start_soc_prozent / 100) * self.kapazitaet_wh
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# Ensure soc_wh is within min and max limits
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"""Resets the battery state to its initial values."""
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self.soc_wh = (self.initial_soc_percentage / 100) * self.capacity_wh
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self.soc_wh = min(max(self.soc_wh, self.min_soc_wh), self.max_soc_wh)
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self.discharge_array = np.full(self.hours, 1)
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self.charge_array = np.full(self.hours, 1)
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def set_discharge_per_hour(self, discharge_array: np.ndarray) -> None:
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assert len(discharge_array) == self.hours
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"""Sets the discharge values for each hour."""
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if len(discharge_array) != self.hours:
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raise ValueError(f"Discharge array must have exactly {self.hours} elements.")
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self.discharge_array = np.array(discharge_array)
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def set_charge_per_hour(self, charge_array: np.ndarray) -> None:
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assert len(charge_array) == self.hours
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"""Sets the charge values for each hour."""
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if len(charge_array) != self.hours:
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raise ValueError(f"Charge array must have exactly {self.hours} elements.")
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self.charge_array = np.array(charge_array)
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def set_charge_allowed_for_hour(self, charge: float, hour: int) -> None:
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assert hour < self.hours
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"""Sets the charge for a specific hour."""
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if hour >= self.hours:
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raise ValueError(f"Hour {hour} is out of range. Must be less than {self.hours}.")
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self.charge_array[hour] = charge
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def ladezustand_in_prozent(self) -> float:
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return (self.soc_wh / self.kapazitaet_wh) * 100
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def current_soc_percentage(self) -> float:
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"""Calculates the current state of charge in percentage."""
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return (self.soc_wh / self.capacity_wh) * 100
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def energie_abgeben(self, wh: float, hour: int) -> tuple[float, float]:
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def discharge_energy(self, wh: float, hour: int) -> tuple[float, float]:
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"""Discharges energy from the battery."""
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if self.discharge_array[hour] == 0:
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return 0.0, 0.0 # No energy discharge and no losses
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return 0.0, 0.0
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# Calculate the maximum energy that can be discharged considering min_soc and efficiency
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max_possible_discharge_wh = (self.soc_wh - self.min_soc_wh) * self.entlade_effizienz
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max_possible_discharge_wh = max(max_possible_discharge_wh, 0.0) # Ensure non-negative
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max_possible_discharge_wh = (self.soc_wh - self.min_soc_wh) * self.discharging_efficiency
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max_possible_discharge_wh = max(max_possible_discharge_wh, 0.0)
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# Consider the maximum discharge power of the battery
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max_abgebbar_wh = min(max_possible_discharge_wh, self.max_ladeleistung_w)
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max_possible_discharge_wh = min(
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max_possible_discharge_wh, self.max_charge_power_w
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) # TODO make a new cfg variable max_discharge_power_w
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# The actually discharged energy cannot exceed requested energy or maximum discharge
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tatsaechlich_abgegeben_wh = min(wh, max_abgebbar_wh)
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actual_discharge_wh = min(wh, max_possible_discharge_wh)
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actual_withdrawal_wh = (
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actual_discharge_wh / self.discharging_efficiency
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if self.discharging_efficiency > 0
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else 0.0
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)
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# Calculate the actual amount withdrawn from the battery (before efficiency loss)
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if self.entlade_effizienz > 0:
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tatsaechliche_entnahme_wh = tatsaechlich_abgegeben_wh / self.entlade_effizienz
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else:
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tatsaechliche_entnahme_wh = 0.0
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# Update the state of charge considering the actual withdrawal
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self.soc_wh -= tatsaechliche_entnahme_wh
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# Ensure soc_wh does not go below min_soc_wh
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self.soc_wh -= actual_withdrawal_wh
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self.soc_wh = max(self.soc_wh, self.min_soc_wh)
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# Calculate losses due to efficiency
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verluste_wh = tatsaechliche_entnahme_wh - tatsaechlich_abgegeben_wh
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losses_wh = actual_withdrawal_wh - actual_discharge_wh
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return actual_discharge_wh, losses_wh
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# Return the actually discharged energy and the losses
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return tatsaechlich_abgegeben_wh, verluste_wh
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def energie_laden(
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def charge_energy(
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self, wh: Optional[float], hour: int, relative_power: float = 0.0
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) -> tuple[float, float]:
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"""Charges energy into the battery."""
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if hour is not None and self.charge_array[hour] == 0:
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return 0.0, 0.0 # Charging not allowed in this hour
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if relative_power > 0.0:
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wh = self.max_ladeleistung_w * relative_power
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# If no value for wh is given, use the maximum charging power
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wh = wh if wh is not None else self.max_ladeleistung_w
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wh = self.max_charge_power_w * relative_power
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# Calculate the maximum energy that can be charged considering max_soc and efficiency
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if self.lade_effizienz > 0:
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max_possible_charge_wh = (self.max_soc_wh - self.soc_wh) / self.lade_effizienz
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else:
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max_possible_charge_wh = 0.0
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max_possible_charge_wh = max(max_possible_charge_wh, 0.0) # Ensure non-negative
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wh = wh if wh is not None else self.max_charge_power_w
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# The actually charged energy cannot exceed requested energy, charging power, or maximum possible charge
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effektive_lademenge = min(wh, max_possible_charge_wh)
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max_possible_charge_wh = (
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(self.max_soc_wh - self.soc_wh) / self.charging_efficiency
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if self.charging_efficiency > 0
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else 0.0
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)
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max_possible_charge_wh = max(max_possible_charge_wh, 0.0)
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# Energy actually stored in the battery
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geladene_menge = effektive_lademenge * self.lade_effizienz
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effective_charge_wh = min(wh, max_possible_charge_wh)
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charged_wh = effective_charge_wh * self.charging_efficiency
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# Update soc_wh
|
||||
self.soc_wh += geladene_menge
|
||||
# Ensure soc_wh does not exceed max_soc_wh
|
||||
self.soc_wh += charged_wh
|
||||
self.soc_wh = min(self.soc_wh, self.max_soc_wh)
|
||||
|
||||
# Calculate losses
|
||||
verluste_wh = effektive_lademenge - geladene_menge
|
||||
return geladene_menge, verluste_wh
|
||||
losses_wh = effective_charge_wh - charged_wh
|
||||
return charged_wh, losses_wh
|
||||
|
||||
def aktueller_energieinhalt(self) -> float:
|
||||
"""This method returns the current remaining energy considering efficiency.
|
||||
|
||||
It accounts for both charging and discharging efficiency.
|
||||
"""
|
||||
# Calculate remaining energy considering discharge efficiency
|
||||
nutzbare_energie = (self.soc_wh - self.min_soc_wh) * self.entlade_effizienz
|
||||
return max(nutzbare_energie, 0.0)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Test battery discharge below min_soc
|
||||
print("Test: Discharge below min_soc")
|
||||
akku = PVAkku(
|
||||
PVAkkuParameters(
|
||||
kapazitaet_wh=10000,
|
||||
start_soc_prozent=50,
|
||||
min_soc_prozent=20,
|
||||
max_soc_prozent=80,
|
||||
),
|
||||
hours=1,
|
||||
)
|
||||
akku.reset()
|
||||
print(f"Initial SoC: {akku.ladezustand_in_prozent()}%")
|
||||
|
||||
# Try to discharge 5000 Wh
|
||||
abgegeben_wh, verlust_wh = akku.energie_abgeben(5000, 0)
|
||||
print(f"Energy discharged: {abgegeben_wh} Wh, Losses: {verlust_wh} Wh")
|
||||
print(f"SoC after discharge: {akku.ladezustand_in_prozent()}%")
|
||||
print(f"Expected min SoC: {akku.min_soc_prozent}%")
|
||||
|
||||
# Test battery charge above max_soc
|
||||
print("\nTest: Charge above max_soc")
|
||||
akku = PVAkku(
|
||||
PVAkkuParameters(
|
||||
kapazitaet_wh=10000,
|
||||
start_soc_prozent=50,
|
||||
min_soc_prozent=20,
|
||||
max_soc_prozent=80,
|
||||
),
|
||||
hours=1,
|
||||
)
|
||||
akku.reset()
|
||||
print(f"Initial SoC: {akku.ladezustand_in_prozent()}%")
|
||||
|
||||
# Try to charge 5000 Wh
|
||||
geladen_wh, verlust_wh = akku.energie_laden(5000, 0)
|
||||
print(f"Energy charged: {geladen_wh} Wh, Losses: {verlust_wh} Wh")
|
||||
print(f"SoC after charge: {akku.ladezustand_in_prozent()}%")
|
||||
print(f"Expected max SoC: {akku.max_soc_prozent}%")
|
||||
|
||||
# Test charging when battery is at max_soc
|
||||
print("\nTest: Charging when at max_soc")
|
||||
akku = PVAkku(
|
||||
PVAkkuParameters(
|
||||
kapazitaet_wh=10000,
|
||||
start_soc_prozent=80,
|
||||
min_soc_prozent=20,
|
||||
max_soc_prozent=80,
|
||||
),
|
||||
hours=1,
|
||||
)
|
||||
akku.reset()
|
||||
print(f"Initial SoC: {akku.ladezustand_in_prozent()}%")
|
||||
|
||||
geladen_wh, verlust_wh = akku.energie_laden(5000, 0)
|
||||
print(f"Energy charged: {geladen_wh} Wh, Losses: {verlust_wh} Wh")
|
||||
print(f"SoC after charge: {akku.ladezustand_in_prozent()}%")
|
||||
|
||||
# Test discharging when battery is at min_soc
|
||||
print("\nTest: Discharging when at min_soc")
|
||||
akku = PVAkku(
|
||||
PVAkkuParameters(
|
||||
kapazitaet_wh=10000,
|
||||
start_soc_prozent=20,
|
||||
min_soc_prozent=20,
|
||||
max_soc_prozent=80,
|
||||
),
|
||||
hours=1,
|
||||
)
|
||||
akku.reset()
|
||||
print(f"Initial SoC: {akku.ladezustand_in_prozent()}%")
|
||||
|
||||
abgegeben_wh, verlust_wh = akku.energie_abgeben(5000, 0)
|
||||
print(f"Energy discharged: {abgegeben_wh} Wh, Losses: {verlust_wh} Wh")
|
||||
print(f"SoC after discharge: {akku.ladezustand_in_prozent()}%")
|
||||
def current_energy_content(self) -> float:
|
||||
"""Returns the current usable energy in the battery."""
|
||||
usable_energy = (self.soc_wh - self.min_soc_wh) * self.discharging_efficiency
|
||||
return max(usable_energy, 0.0)
|
||||
|
||||
Reference in New Issue
Block a user