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ChargerOptimiser

Model the optimal number of locations required for coverage

ChargerOptimiser is Field Dynamics’ advanced location allocation modelling tool that helps you identify the most effective, equitable, and efficient sites for on-street EV charging infrastructure.

Built on the proven Accelerated Insight Platform, ChargerOptimiser enables users to test business rules, model trade-offs, and design charging networks that deliver maximum coverage for minimum cost.

What ChargerOptimiser does

Plan strategically

Run advanced spatial optimisation models to determine the best mix of charging sites within budget, policy, or service constraints.

Maximise coverage

Identify charger locations that serve the highest number of on-street households within a defined walking distance.

Minimise cost

Find the smallest number of chargers required to meet your service goals, avoiding over-deployment while retaining equitable access.

Evidence every decision

Generate transparent, auditable outputs that can be reviewed, exported, and integrated directly into ChargePoint Navigator scenarios.

For Local Authorities

Local authorities face tight timelines and funding conditions. ChargerOptimiser helps officers to:

Test “what-if” scenarios to understand the impact of different charger numbers or walk distances.
Identify priority deployment areas aligned to LEVI or regional strategies.
Demonstrate the equity and reach of proposed investments.
Build defensible evidence for bids and planning submissions.
Ensure you don’t plan in areas that are already covered.
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time lapse photography of road near Elizabeth's tower

For Charge Point Operators (CPOs)

CPOs can use ChargerOptimiser to bid for LEVI contracts, refine rollout plans and strengthen business cases:

Quantify where new chargers deliver the most additional household coverage.
Assess the diminishing returns of adding extra sites.
Align expansion with local authority priorities and spatial demand patterns.
Reduce manual analysis through automated, repeatable modelling.
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How it works

ChargerOptimiser uses proven location allocation algorithms the same principles used to site schools, warehouses, or emergency services.


It matches charging demand (on-street households) with potential supply points (candidate charger sites) to produce a statistically robust, spatially efficient configuration.

Users can:

Upload mandatory locations – fixed charger sites, such as council car parks.
Set walking distance thresholds – define acceptable travel times from households to chargers.
Select an optimisation approach:
– Maximise coverage: place a fixed number of chargers for the greatest reach.
– Minimise chargers: achieve a coverage target with the fewest installations.
– Run both: explore trade-offs between cost and coverage.
Define candidate locations – choose from road midpoints or streetlights, filtered by pavement width or accessibility.

The system then generates multiple optimisation runs, each showing a unique balance of cost, coverage, and spatial distribution giving decision-makers clear, evidence-based options.

Why ChargerOptimiser

Statistically robust: grounded in industry-standard optimisation algorithms.
Configurable: supports bespoke business rules, policy targets, and constraints.
Transparent: full audit trail, exportable data, and reproducible results.
Integrated: works standalone or within Field Dynamics’ ChargePoint Navigator platform.
Practical: designed for real-world rollout pressures and cross-team collaboration.
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ChargerOptimiser replaces guesswork with clarity helping teams justify decisions, stretch budgets further, and deliver infrastructure that meets local demand.

Ready to transform your business?

Join the movement towards sustainability and efficiency with Field Dynamics! Our expert team is here to guide you in achieving your net-zero goals through innovative solutions tailored to your unique needs.

+44(0)121 232 8050
info@field-dynamics.co.uk
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