EV–EV ENERGY TRADING RESEARCH

One journey. Three connected decisions.

An optimization framework for recommending charging pads, matching EVs, and defining trading regions.

01 / THE JOURNEY BEGINS

An EV on the road. An energy decision ahead.

A consumer EV is travelling from its origin to its destination. Its current position, battery energy, and requested energy set the context.

Consumer EV · 18 / 60 kWh · requests 12 kWh

01 / 06

Journey

Journey network Illustrative · not to scale

Origin

Destination

C1 ConsumerWhere should I trade?

Battery energy18 / 60 kWh

Energy request12 kWh

JourneyOrigin to destination

DECISION CONTEXT01Origin and destination identified02Current EV position located03Battery state and energy request available

Illustrative walkthrough: road layout, values, ranks, matches, and regions are examples. Use the live applications to run the models. The stages explain connected research decisions, not a single sequential deployment.

Live research applicationsExplore the coordination pipelineRecommendation → matching → spatial scoping

001 / connected decisionsFrom discovery to coordinated trading

4,551electric vehicles

192wireless charging points

>17Msource journeys

3connected decisions