End User
EMOT
Description
The Battery & EV EMS Optimisation service provides coordinated optimisation of stationary battery systems and EV charging assets to maximise PV self-consumption within energy communities. Using a rolling-horizon MPC framework updated every 15 minutes, the service generates coordinated operational schedules for battery dispatch and EV charging that respect technical constraints (battery SoC bounds, EV departure requirements, charger power limits) while maximising renewable energy utilisation.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
When stationary batteries and EV charging operate independently, structural inefficiencies arise: excess PV is exported while charging draws from the grid during high-tariff periods. Coordinating these flexible assets transforms them into synchronised resources that shift energy consumption and storage to align with renewable generation, reducing export volatility and grid import costs.
Key Performance Indicators
PV self-consumption improvement
Reduction in exported renewable energy
Reduction in peak grid imports
EV departure energy requirement fulfilment rate
Optimisation latency and reproducibility of results
Data Provided
Battery power trajectories, EV charging power trajectories, and SoC evolution
Grid import and export projections under optimised control strategy
Optimisation run metadata: run ID, forecast versions, configuration parameters
Inputs: PV generation forecasts, demand forecasts, EV availability constraints, battery technical parameters
TEF
TEF EV