Smart Load Management System
XmartFlux Smart Load Management System (SLMS) goes beyond traditional equal-load distribution. Instead of simply splitting available power evenly, it applies intelligent decision rules to optimise energy usage across EV chargers, buildings, and grid connections.
The system considers multiple factors such as:
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Priority-based allocation (VIP users, fleet vehicles, emergency loads)
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Dynamic pricing rules (time-of-use and demand-based tariffs)
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Charging schedules and user behaviour
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Renewable generation availability
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Battery storage levels
This enables infrastructure owners to maximise revenue, reduce peak demand costs, and improve user experience without upgrading physical infrastructure.
User story
From Power Bottlenecks to Intelligent Energy Flow
A mixed-use commercial complex in Melbourne installs 10 EV chargers to support the growing number of electric vehicle users in the building and surrounding area. The charging infrastructure included:
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5 × 22kW AC chargers
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5 × 50kW DC fast chargers
Although the site has strong demand for EV charging, its available grid capacity is limited. During peak periods, simultaneous charging sessions create heavy pressure on the building’s electrical infrastructure, increasing energy costs and reducing charging efficiency.
Traditional load management systems could only distribute power equally or statically between chargers. This resulted in:
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slower charging sessions,
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inefficient use of available capacity,
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high peak demand charges,
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and poor user experience during busy hours.
After deploying the XmartFlux Load Management System (LMS), the site is transformed into an intelligent and dynamic energy environment.
Using real-time monitoring and AI-driven optimisation, XmartFlux LMS continuously analyses:
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charger utilisation,
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vehicle charging behaviour,
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battery charging curves,
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building demand,
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solar generation,
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battery storage levels,
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and real-time electricity tariffs.
Instead of allocating power equally, the system dynamically adjusts charging power based on demand and operational rules.
For example:
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At the beginning of a charging session, the LMS allocates higher power to rapidly bring EV batteries to an acceptable state of charge.
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Once vehicles reach a certain charging threshold, the system automatically reduces charging power and redirects available capacity to newly connected vehicles.
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During peak demand periods, the LMS applies charging caps to prevent infrastructure overload and prioritises fair access across users.
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In some scenarios, charging sessions are automatically paused after reaching 50% charge during extreme peak conditions to maximise charger availability for more users.
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In residential environments, the LMS encouraged off-peak charging by dynamically adjusting pricing and charging priorities.
The platform also optimises energy generation and storage across the entire site:
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Solar is prioritised during daytime charging periods.
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Battery storage systems absorbs excess solar generation and discharge energy during peak demand.
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Real-time electricity tariff data allows the system to intelligently use grid power only when electricity prices are low or when free charging windows are available from the energy provider.
By orchestrating energy generation, storage, and consumption together, XmartFlux LMS transforms a limited-capacity charging site into a highly efficient smart energy ecosystem.
Outcome
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Increased charger utilisation without costly grid upgrades
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Reduced peak demand and electricity costs
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Faster and more efficient charging turnover
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Better user experience during busy periods
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Improved use of renewable energy and battery storage
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More sustainable and scalable EV charging operations
The project demonstrates how intelligent load orchestration can significantly improve the performance, economics, and sustainability of EV charging infrastructure.