I feel I've got everything set up correctly but my predbat plan doesn't include any charging or exporting, I have been reading through the Docs for about 2 days checking every setting, any help will be appreciated as im lost. The plan looks reasonable if it only charges my battery!
pred_bat:
module: predbat
class: PredBat
# Sets the prefix for all created entities in HA - only change if you want to run more than once instance
prefix: predbat
# Timezone to work in
timezone: Europe/London
# Currency, symbol for main currency second symbol for 1/100s e.g. $ c or £ p or e c
currency_symbols:
- '£'
- 'p'
# Number of threads to use in plan calculation
# Can be auto for automatic, 0 for off or values 1-N for a fixed number
threads: auto
# If you are using Predbat outside of HA then set the HA URL and Key (long lived access token here)
#ha_url: 'http://homeassistant.local:8123'
#ha_key: 'xxx'
# Set to auto-match with a GivEnergy serial number, but you can override the serial or the sensor names
# if it doesn't work or if you have more than one inverter you will need to list both
geserial: 'td2418g007'
# Sets the maximum period of zero load before the gap is filled, default 30 minutes
# To disable set it to 1440
load_filter_threshold: 30
#
# Sensors, more than one can be specified and they will be summed up automatically
#
# For two inverters the load today would normally be the master load sensor only (to cover the entire house)
# If you have three phase and one inverter per phase then you would need three load sensors
#
# For pv_today if you have multiple solar inverter inputs then you should include one entry for each inverter
#
load_today:
- sensor.givtcp_{geserial}_load_energy_today_kwh
import_today:
- sensor.givtcp_{geserial}_import_energy_today_kwh
export_today:
- sensor.givtcp_{geserial}_export_energy_today_kwh
pv_today:
- sensor.givtcp_{geserial}_pv_energy_today_kwh
# Load forecast can be used to add to the historical load data (heat-pump)
# To link to Predheat
# Data must be in the format of 'last_updated' timestamp and 'energy' for incrementing kWh
#load_forecast:
# - predheat.heat_energy$external
#
# If you enable ge_cloud_data then the load/import and export data will be fetches from the GE cloud instead of from GivTCP sensors
# this is usually less efficient and of course prone to internet downtime, but could be useful if you lost your GivTCP data
# Set the serial to the inverter serial to pull the data from and the key to your API key
# When this is set load_today, import_today and export_today are not used
#
ge_cloud_data: False
ge_cloud_serial: '{geserial}'
ge_cloud_key: 'xxxx'
#
# Controls/status - must by 1 per inverter
#
num_inverters: 1
#
# Run balance inverters every N seconds (0=disabled) - only for multi-inverter
#balance_inverters_seconds: 60
#
# When set use the REST API rather than HA entity for control, should be more reliable/faster to control
# Set one per inverter
# If using Docker then change homeassistant.local to the Docker IP address
givtcp_rest:
- 'http://homeassistant.local:6345'
- 'http://homeassistant.local:6346'
# When enabled automatic restart will restart the add-on if communication fails
# Example below is auto-restart for GivTCP add-on itself
#auto_restart:
# - shell: 'rm -rf /homeassistant/GivTCP/*.pkl'
# - service: hassio/addon_restart
# addon: a6a2857d_givtcp
# Example on how to restart the inverter via GivTCP
# - service: switch.turn_on
# entity_id: switch.givtcp_{geserial}_reboot_invertor
# If not using REST then instead set the Control here (one for each inverter)
# You should keep this section even when using REST as a fallback if it fails and for charge curve calculations
charge_rate:
- number.givtcp_{geserial}_battery_charge_rate
- number.givtcp2_{geserial2}_battery_charge_rate
discharge_rate:
- number.givtcp_{geserial}_battery_discharge_rate
- number.givtcp2_{geserial2}_battery_discharge_rate
battery_power:
- sensor.givtcp_td2418g007_battery_power
- sensor.givtcp2_{geserial2}_battery_power
pv_power:
- sensor.givtcp_{geserial}_pv_power
- sensor.givtcp2_{geserial2}_pv_power
load_power:
- sensor.givtcp_{geserial}_load_power
- sensor.givtcp2_{geserial2}_load_power
soc_kw:
- sensor.givtcp_{geserial}_soc_kwh
- sensor.givtcp2_{geserial2}_soc_kwh
soc_max:
- sensor.givtcp_{geserial}_battery_capacity_kwh
- sensor.givtcp2_{geserial2}_battery_capacity_kwh
reserve:
- number.givtcp_{geserial}_battery_power_reserve
- number.givtcp2_{geserial2}_battery_power_reserve
inverter_mode:
- select.givtcp_{geserial}_mode
- select.givtcp2_{geserial2}_mode
inverter_time:
- sensor.givtcp_{geserial}_invertor_time
- sensor.givtcp2_{geserial2}_invertor_time
charge_start_time:
- select.givtcp_{geserial}_charge_start_time_slot_1
- select.givtcp2_{geserial2}_charge_start_time_slot_1
charge_end_time:
- select.givtcp_{geserial}_charge_end_time_slot_1
- select.givtcp2_{geserial2}_charge_end_time_slot_1
charge_limit:
- number.givtcp_{geserial}_target_soc
- number.givtcp2_{geserial2}_target_soc
scheduled_charge_enable:
- switch.givtcp_{geserial}_enable_charge_schedule
- switch.givtcp2_{geserial2}_enable_charge_schedule
scheduled_discharge_enable:
- switch.givtcp_{geserial}_enable_discharge_schedule
- switch.givtcp2_{geserial2}_enable_discharge_schedule
discharge_start_time:
- select.givtcp_{geserial}_discharge_start_time_slot_1
- select.givtcp2_{geserial2}_discharge_start_time_slot_1
discharge_end_time:
- select.givtcp_{geserial}_discharge_end_time_slot_1
- select.givtcp2_{geserial2}_discharge_end_time_slot_1
# Pause mode is not supported by all firmware's and will be ignored if not present
pause_mode:
- select.givtcp_{geserial}_battery_pause_mode
- select.givtcp_{geserial2}_battery_pause_mode
# Not all firmwares support pause start/end time, delete these if not supported
# to avoid spurious writes/warnings
pause_start_time:
- select.givtcp_{geserial}_battery_pause_start_time_slot
- select.givtcp2_{geserial2}_battery_pause_start_time_slot
pause_end_time:
- select.givtcp_{geserial}_battery_pause_end_time_slot
- select.givtcp2_{geserial2}_battery_pause_end_time_slot
# Battery temperature sensor per inverter, used outside REST mode to get current temperature
#
battery_temperature:
- sensor.givtcp_battery_stack_1_bms_temperature
- sensor.givtcp2_battery_stack_1_bms_temperature
# Battery temperature history, only one for modelling, used to predict future temperature
#
battery_temperature_history: sensor.givtcp_battery_stack_1_bms_temperature
# Battery temperature charge adjustment curve
# Specific in C which is a multiple of the battery capacity
# e.g. 0.33 C is 33% of the battery capacity
# values unspecified will be assumed to be 1.0 hence rate is capped by max charge rate
battery_temperature_charge_curve:
19: 0.33
18: 0.33
17: 0.33
16: 0.33
15: 0.33
14: 0.33
13: 0.33
12: 0.33
11: 0.33
10: 0.25
9: 0.25
8: 0.25
7: 0.25
6: 0.25
5: 0.25
4: 0.25
3: 0.25
2: 0.25
1: 0.15
0: 0.00
# Inverter max AC limit (one per inverter). E.g for a 3.6kw inverter set to 3600
# If you have a second inverter for PV only please add the two values together
inverter_limit:
- 11000
# Export limit is a software limit set on your inverter that prevents exporting above a given level
# When enabled Predbat will model this limit
#export_limit:
# - 3600
# - 3600
# Some inverters don't turn off when the rate is set to 0, still charge or discharge at around 200w
# The value can be set here in watts to model this (doesn't change operation)
#inverter_battery_rate_min:
# - 200
# Workaround to limit the maximum reserve setting, some inverters won't allow 100% to be set
# Comment out if your inverter allows 100%
# inverter_reserve_max : 98
# Some batteries tail off their charge rate at high soc%
# enter the charging curve here as a % of the max charge rate for each soc percentage.
# the default is 1.0 (full power)
# The example below is from GE 9.5kwh battery with latest firmware and gen1 inverter
#
# Predbat can compute this curve automatically if you have enough data, restart the add-on and look in the logfile for the data
# once set here Predbat will no longer re-compute the curve.
# Can also be set to 'auto' to just use the calculation curve, not recommended if you are using low power charging mode.
battery_charge_power_curve:
91 : 0.91
92 : 0.81
93 : 0.71
94 : 0.62
95 : 0.52
96 : 0.43
97 : 0.33
98 : 0.24
99 : 0.24
100 : 0.24
#battery_discharge_power_curve:
# 4 : 1.0
# Inverter clock skew in minutes, e.g. 1 means it's 1 minute fast and -1 is 1 minute slow
# Separate start and end options are applied to the start and end time windows, mostly as you want to start late (not early) and finish early (not late)
# Separate discharge skew for discharge windows only
inverter_clock_skew_start: 0
inverter_clock_skew_end: 0
inverter_clock_skew_discharge_start: 0
inverter_clock_skew_discharge_end: 0
# Clock skew adjusts the Appdaemon time
# This is the time that Predbat takes actions like starting discharge/charging
# Only use this for workarounds if your inverter time is correct but Predbat is somehow wrong (AppDaemon issue)
# 1 means add 1 minute to AppDaemon time, -1 takes it away
clock_skew: 0
# Solcast cloud interface, set this or the local interface below
solcast_host: 'https://api.solcast.com.au/'
solcast_api_key: 'QeljTblfSyNN_VR8ikrpdY7ohPe_ik7q'
solcast_poll_hours: 8
# Set these to match solcast sensor names if not using the cloud interface
# The regular expression (re:) makes the solcast bit optional
# If these don't match find your own names in Home Assistant
pv_forecast_today: re:(sensor.(solcast_|)(pv_forecast_|)forecast_today)
pv_forecast_tomorrow: re:(sensor.(solcast_|)(pv_forecast_|)forecast_tomorrow)
pv_forecast_d3: re:(sensor.(solcast_|)(pv_forecast_|)forecast_(day_3|d3))
pv_forecast_d4: re:(sensor.(solcast_|)(pv_forecast_|)forecast_(day_4|d4))
# car_charging_energy defines an incrementing sensor which measures the charge added to your car
# is used for car_charging_hold feature to filter out car charging from the previous load data
# Automatically set to detect Wallbox and Zappi, if it doesn't match manually enter your sensor name
# Also adjust car_charging_energy_scale if it's not in kwH to fix the units
car_charging_energy: 're:(sensor.myenergi_zappi_[0-9a-z]+_charge_added_session|sensor.wallbox_portal_added_energy)'
# Defines the number of cars modelled by the system, set to 0 for no car
num_cars: 1
# car_charging_planned is set to a sensor which when positive indicates the car will charged in the upcoming low rate slots
# This should not be needed if you use Intelligent Octopus slots which will take priority if enabled
# The list of possible values is in car_charging_planned_response
# Auto matches Zappi and Wallbox, or change it for your own
# One entry per car
car_charging_planned:
- 're:(sensor.wallbox_portal_status_description|sensor.myenergi_zappi_[0-9a-z]+_plug_status)'
car_charging_planned_response:
- 'yes'
- 'on'
- 'true'
- 'connected'
- 'ev connected'
- 'charging'
- 'paused'
- 'waiting for car demand'
- 'waiting for ev'
- 'scheduled'
- 'enabled'
- 'latched'
- 'locked'
- 'plugged in'
# In some cases car planning is difficult (e.g. Ohme with Intelligent doesn't report slots)
# The car charging now can be set to a sensor to indicate the car is charging and to plan
# for it to charge during this 30 minute slot
#car_charging_now:
# - off
# Positive responses for car_charging_now
# car_charging_now_response:
- 'yes'
- 'on'
- 'true'
# To make planned car charging more accurate, either using car_charging_planned or the Octopus Energy plugin,
# specify your battery size in kwh, charge limit % and current car battery soc % sensors/values.
# If you have Intelligent Octopus the battery size and limit will be extracted from the Octopus Energy plugin directly.
# Set the car SOC% if you have it to give an accurate forecast of the cars battery levels.
# One entry per car if you have multiple cars.
car_charging_battery_size:
- 55
#car_charging_limit:
# - 're:number.tsunami_charge_limit'
#car_charging_soc:
# - 're:sensor.tsunami_battery'
# One per car, when true only one car can charge at once, when False multiple cars can charge at once
#car_charging_exclusive:
- True
# If you have Octopus intelligent, enable the intelligent slot information to add to pricing
# Will automatically disable if not found, or comment out to disable fully
# When enabled it overrides the 'car_charging_planned' feature and predict the car charging based on the intelligent plan (unless octopus intelligent charging is False)
# This matches either the intelligent slot from the Octopus Plugin or from the Intelligent plugin
octopus_intelligent_slot: 're:(binary_sensor.octopus_energy([0-9a-z_]+|)_intelligent_dispatching)'
# octopus_ready_time: 're:((select|time).octopus_energy_([0-9a-z_]+|)_intelligent_target_time)'
# octopus_charge_limit: 're:(number.octopus_energy([0-9a-z_]+|)_intelligent_charge_limit)'
# Example alternative configuration for Ohme integration release >=v0.6.1
#octopus_intelligent_slot: 'binary_sensor.ohme_slot_active'
#octopus_ready_time: 'time.ohme_target_time'
#octopus_charge_limit: 'number.ohme_target_percent'
# Set this to False if you use Octopus Intelligent slot for car planning but when on another tariff e.g. Agile
#octopus_slot_low_rate: False
# Carbon Intensity data from National grid
carbon_intensity: 're:(sensor.electricity_maps_co2_intensity)'
# Octopus saving session points to the saving session Sensor in the Octopus plugin, when enabled saving sessions will be at the assumed
# Rate is read automatically from the add-in and converted to pence using the conversion rate below (default is 8)
octopus_saving_session: 're:(binary_sensor.octopus_energy([0-9a-z_]+|)_saving_session(s|))'
octopus_saving_session_octopoints_per_penny: 8
# Octopus free session points to the free session Sensor in the Octopus plugin
# Note: You must enable this event sensor in the Octopus Integration in Home Assistant for it to work
octopus_free_session: 're:(event.octopus_energy_([0-9a-z_]+|)_octoplus_free_electricity_session_events)'
# Alternative scraper from Octopus web site if the above is not working
# octopus_free_url: 'http://octopus.energy/free-electricity'
# Energy rates
# Please set one of these three, if multiple are set then Octopus is used first, second rates_import/rates_export and latest basic metric
# Set import and export entity to point to the Octopus Energy plugin import and export sensors
# automatically matches your meter number assuming you have only one (no need to edit the below)
# Will be ignored if you don't have the sensor but will error if you do have one and it's incorrect
# NOTE: To get detailed energy rates you need to go in and manually enable the following events in HA
# event.octopus_energy_electricity_xxxxxxxx_previous_day_rates
# event.octopus_energy_electricity_xxxxxxxx_current_day_rates
# event.octopus_energy_electricity_xxxxxxxx_next_day_rates
# and if you have export enable:
# event.octopus_energy_electricity_xxxxxxxx_export_previous_day_rates
# event.octopus_energy_electricity_xxxxxxxx_export_current_day_rates
# event.octopus_energy_electricity_xxxxxxxx_export_next_day_rates
# Predbat will automatically find the event. entities from the link below to the sensors
metric_octopus_import: 're:(sensor.(octopus_energy_|)electricity_[0-9a-z]+_[0-9a-z]+_current_rate)'
metric_octopus_export: 're:(sensor.(octopus_energy_|)electricity_[0-9a-z]+_[0-9a-z]+_export_current_rate)'
# Standing charge in pounds, can be set to a sensor or manually entered (e.g. 0.50 is 50p)
# The default below will pick up the standing charge from the Octopus Plugin
# The standing charge only impacts the cost graphs and doesn't change the way Predbat plans
# If you don't want to show the standing charge then just delete this line or set to zero
metric_standing_charge: 're:(sensor.(octopus_energy_|)electricity_[0-9a-z]+_[0-9a-z]+_current_standing_charge)'
# Or set your actual rates across time for import and export
# If start/end is missing it's assumed to be a fixed rate
# Gaps are filled with zero rate
#rates_import:
# - start: "00:30:00"
# end: "04:30:00"
# rate: 7.5
# - start: "04:30:00"
# end: "00:30:00"
# rate: 40.0
#
rates_export:
- rate: 15
# Can be used instead of the plugin to get import rates directly online
# Overrides metric_octopus_import and rates_import
# rates_import_octopus_url : "https://api.octopus.energy/v1/products/FLUX-IMPORT-23-02-14/electricity-tariffs/E-1R-FLUX-IMPORT-23-02-14-A/standard-unit-rates"
# rates_import_octopus_url : "https://api.octopus.energy/v1/products/AGILE-FLEX-BB-23-02-08/electricity-tariffs/E-1R-AGILE-FLEX-BB-23-02-08-A/standard-unit-rates"
# Overrides metric_octopus_export and rates_export
# rates_export_octopus_url: "https://api.octopus.energy/v1/products/FLUX-EXPORT-BB-23-02-14/electricity-tariffs/E-1R-FLUX-EXPORT-BB-23-02-14-A/standard-unit-rates"
# rates_export_octopus_url: "https://api.octopus.energy/v1/products/AGILE-OUTGOING-BB-23-02-28/electricity-tariffs/E-1R-AGILE-OUTGOING-BB-23-02-28-A/standard-unit-rates/"
# rates_export_octopus_url: "https://api.octopus.energy/v1/products/OUTGOING-FIX-12M-BB-23-02-09/electricity-tariffs/E-1R-OUTGOING-FIX-12M-BB-23-02-09-A/standard-unit-rates/"
# Import rates can be overridden with rate_import_override
# Export rates can be overridden with rate_export_override
# Use the same format as above, but a date can be included if it just applies for a set day (e.g. Octopus power ups)
# This will override even the Octopus plugin rates if enabled
#
#rates_import_override:
# - date: '2023-09-10'
# start: '14:00:00'
# end: '14:30:00'
# rate: 112
# load_scaling: 0.8
# For pv estimate, leave blank for central estimate, or add 10 for 10% curve (worst case) or 90 or 90% curve (best case)
# If you use 10 then disable pv_metric10_weight below
# pv_estimate: 10
# Days previous is the number of days back to find historical load data
# Recommended is 7 to capture day of the week but 1 can also be used
# if you have more history you could use 7 and 14 (in a list) but the standard data in HA only lasts 10 days
days_previous:
- 4
# Days previous weight can be used to control the weighting of the previo I'll pop up to seeus load points, the values are multiplied by their
# weights and then divided through by the total weight. E.g. if you used 1 and 0.5 then the first value would have 2/3rd of the weight and the second 1/3rd
# Include one value for each days_previous value, each weighting on a separate line.
# If any days_previous's that are not given a weighting they will assume a default weighting of 1.
days_previous_weight:
- 1
# Number of hours forward to forecast, best left as-is unless you have specific reason
forecast_hours: 48
# Specify the devices that notifies are sent to, the default is 'notify' which goes to all
#notify_devices:
# - mobile_app_treforsiphone12_2
# Battery scaling makes the battery smaller (e.g. 0.9) or bigger than its reported
# If you have an 80% DoD battery that falsely reports it's kwh then set it to 0.8 to report the real figures
# One per inverter
battery_scaling:
- 1.0
# Can be used to scale import and export data, used for workarounds
import_export_scaling: 1.0
# Export triggers:
# For each trigger give a name, the minutes of export needed and the energy required in that time
# Multiple triggers can be set at once so in total you could use too much energy if all run
# Creates an entity called 'binary_sensor.predbat_export_trigger_<name>' which will be turned On when the condition is valid
# connect this to your automation to start whatever you want to trigger
export_triggers:
- name: 'large'
minutes: 60
energy: 1.0
- name: 'small'
minutes: 15
energy: 0.25
# If you have a sensor that gives the energy consumed by your solar diverter then add it here
# this will make the predictions more accurate. It should be an incrementing sensor, it can reset at midnight or not
# It's assumed to be in Kwh but scaling can be applied if need be
#iboost_energy_today: 'sensor.xxxxx'
#iboost_energy_scaling: 1.0
# Gas rates for comparison
#metric_octopus_gas: 're:(sensor.(octopus_energy_|)gas_[0-9a-z]+_[0-9a-z]+_current_rate)'
# Nordpool market energy rates
#futurerate_url: 'https://dataportal-api.nordpoolgroup.com/api/DayAheadPrices?date=DATE&market=N2EX_DayAhead&deliveryArea=UK¤cy=GBP'
#futurerate_adjust_import: True
#futurerate_adjust_export: False
#futurerate_peak_start: "16:00:00"
#futurerate_peak_end: "19:00:00"
#futurerate_peak_premium_import: 14
#futurerate_peak_premium_export: 6.5
# Watch list, a list of sensors to watch for changes and then update the plan if they change
# This is useful for things like the Octopus Intelligent Slot sensor so that the plan update as soon as you plugin in
# Only uncomment the items you actually have set up above in apps.yaml, of course you can add your own as well
# Note those using +[] are lists that are appended to this list, whereas {} items are single items only
watch_list:
- '{octopus_intelligent_slot}'
# - '{octopus_ready_time}'
# - '{octopus_charge_limit}'
- '{octopus_saving_session}'
# - '+[car_charging_planned]'
# - '+[car_charging_soc]'
- '{car_charging_now}'
predheat:
# Days forward
forecast_days: 2
# Days previous is the number of days back to find historical load data
# Recommended is 7 to capture day of the week but 1 can also be used
# if you have more history you could use 7 and 14 (in a list) but the standard data in HA only lasts 10 days
days_previous:
- 7
# Gas or heatpump mode ('gas' or 'pump')
mode: pump
# External temperature sensor
external_temperature: sensor.3b_outdoor_temperature
# Internal temperature sensor(s)
internal_temperature:
- sensor.3b_zone_1_circuit_0_current_temperature
# Weather data
weather: weather.openweathermap
# Sensor with history that monitors the thermostat setting in the house
target_temperature: sensor.3b_zone_1_circuit_0_desired_heating_temperature
# Thermostat Hysteresis turn on amount in degrees (default 0.5)
hysteresis: 0.5
# Thermostat Hysteresis turn off amount in degrees (default 0.1)
hysteresis_off: 0.1
# When true models a smart thermostat that turns the heating ahead of the target temperature so it reaches it just in time
smart_thermostat: True
# Past energy consumption of heating in KWh, scaled with heating_energy_scaling
heating_energy: sensor.3b_device_0_arotherm_plus_consumed_electrical_energy_heating
heating_energy_scaling: 1
# Heating is turned on history
heating_active: sensor.3b_circuit_0_heating_curve
# House heat loss in watts per degrees temp difference
heat_loss_watts: 261
# Static heat sources in the house (e.g. people/equipment)
heat_gain_static: 200
# House heat loss in degrees per hour per degree temp difference
heat_loss_degrees: 0.030
# Heating max output (of the radiators), in Watts at delta 50 (BTU / 3.41)
# https://www.bestheating.com/milano-kent-straight-chrome-heated-towel-rail-various-sizes-91119
# https://www.bestheating.com/milano-compact-type-11-single-panel-radiator-multi-sizes-available-74174
# https://www.bestheating.com/milano-compact-type-22-double-panel-radiator-multi-sizes-available-74176
# https://www.bestheating.com/milano-compact-type-21-double-panel-plus-radiator-multi-sizes-available-74175
heat_output: 23900
# Add up radiator volume + any pipework or expansion vessel
heat_volume: 75
# Heating max power in Watts
heat_max_power: 12000
heat_min_power: 0
# Heating cop is the maximum efficiency and will be scaled down based on temperatures
# put 1.0 for condensing gas boilers, or around 4.0 for heat pumps
heat_cop: 4.0
# Current flow temperature setting
flow_temp: sensor.3b_circuit_0_current_flow_temperature
flow_difference_target: 10
# Sets the conversion factors between the delta T50°C and other delta T values
#delta_correction:
# 75: 1.69
# 70: 1.55
# 65: 1.41
# 60: 1.27
# 55: 1.13
# 50: 1
# 45: 0.87
# 40: 0.75
# 35: 0.63
# 30: 0.51
# 25: 0.41
# 20: 0.3
# 15: 0.21
# 10: 0.12
# 5: 0.05
# 0: 0.00
# Sets the efficiency of a gas boiler at different input temperatures
#gas_efficiency:
# 0: 0.995
# 10: 0.995
# 20: 0.99
# 30: 0.98
# 40: 0.95
# 50: 0.90
# 60: 0.88
# 70: 0.87
# 80: 0.86
# 90: 0.85
# 100: 0.84
# Sets the efficiency of a heat pump in COP at different input temperatures
heat_pump_efficiency:
-20: 2.10
-18: 2.15
-16: 2.2
-14: 2.25
-12: 2.3
-10: 2.4
-8: 2.5
-6: 2.6
-4: 2.7
-2: 2.8
0: 2.9
2: 3.1
4: 3.3
6: 3.6
8: 3.8
10: 3.9
12: 4.1
14: 4.3
16: 4.3
18: 4.3
20: 4.3
hello,
I feel I've got everything set up correctly but my predbat plan doesn't include any charging or exporting, I have been reading through the Docs for about 2 days checking every setting, any help will be appreciated as im lost. The plan looks reasonable if it only charges my battery!