Reference implementation of flexible charging tariffs for CPOs and EMTs based on Green Power Index and SolarEnergyPrediction APIs. Part of #mobilitython2022 - Enpulse challenge.
Todays BEV charging lacks communication between driver/customer and charge point operator (CPO).
If we would know the goals the driver has by time of connecting to our charging point, we could optimize our energy dispatch for the charging session.
- integrate local generation (eq. photovoltaics) into tariffs
- reduce scope2 greenhouse gas emissions for customers
- ensure regulatory compliance
- consult clients using data driving transparency
- expedite adoption of eMobility by providing state of the art CX
npm install --save corrently-charge
Either as .env or during instanciation
| Setting | Description |
|---|---|
SOLAR_PREDICTION |
URL to the solar prediction API to use |
GSI_PREDICTION |
URL to the Green Power Index API to use |
localPrice |
Price per kwh for local energy (eq. solar) |
gridPrice |
Price per kwh for energy from grid |
- Does not respect none-linear maxpower
- Does not respect reactive power in low power charging conditions
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