Enabling Scalable, Grid-Aware EV Infrastructure for North America
A global electronics leader launched its EV Charging and Energy Storage (ESS) product suite in North America, beginning with a pilot deployment at its New Jersey campus.
L&Q partnered as the Engineering Delivery team to implement the cloud-based management platform, enabling real-time infrastructure visibility, predictive load optimization, and ESS orchestration — forming the digital backbone for future commercial expansion.
1. Challenges
Deploying EV charging infrastructure within existing grid capacity constraints required intelligent load control and energy optimization from day one.
The client needed to:
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Launch a production-ready EV charging management platform
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Prevent transformer overload and peak demand penalties
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Integrate Energy Storage Systems with charging operations
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Implementing predictive demand forecasting
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Managing Time-of-Use (TOU) tariffs and power budgets
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Ensuring secure multi-role enterprise access
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Preparing for OCPI ecosystem integration
2. Solution
L&Q engineered a scalable, cloud-native platform aligned with the client’s architecture and energy strategy, delivering operational control, predictive intelligence, and long-term scalability.
A. Load Management & Real-Time Visibility
We implemented a real-time charging management system that provided:
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Live charger status and session tracking
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Energy consumption monitoring
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Aggregated operational dashboards
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Role-based administrative controls
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Comprehensive reporting and analytics
The platform provided full visibility into charging operations across the pilot site.
B. Site Intelligence & Operational Control
L&Q delivered site-level intelligence capabilities including:
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Interactive site layout visualization
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Transformer and site load monitoring
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Configurable alert and notification engine
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API-driven integration framework
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OCPI readiness for ecosystem interoperability
C. Energy Storage & Predictive Optimization
To move beyond monitoring, we implemented predictive and optimization capabilities:
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ESS performance monitoring (SoC, power flow, usage patterns)
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Short-term load forecasting
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Time-of-Use (TOU) tariff configuration
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Model Predictive Control (MPC) execution
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Smart charge/discharge scheduling
The system enables:
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Peak shaving
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Demand charge mitigation
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Grid load balancing
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Tariff-aware energy optimization
This transforms the site from passive consumption to intelligent energy management.
3. Results & Value Delivered
The pilot established a scalable digital foundation for EV infrastructure expansion across North America.
Value Delivered:
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Production-grade cloud platform delivered in structured phases
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Real-time operational visibility across charging infrastructure
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Integrated ESS-based peak load management capability
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Predictive demand forecasting implementation
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Tariff-aware optimization framework
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Architecture ready for multi-site rollout
L&Q Differentiation:
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Strong execution within enterprise architecture environments
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Deep IoT and energy platform engineering expertise
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Ability to translate energy control strategies into scalable software systems
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Event-driven, cloud-native platform implementation capability
4. Conclusion & Next Steps
With predictive intelligence and ESS orchestration embedded into the platform, the client’s pilot deployment now serves as a scalable blueprint for broader commercial rollout.
The solution demonstrates how intelligent software can transform EV charging infrastructure into a grid-aware, cost-optimized energy ecosystem.
Planning to launch or scale EV charging infrastructure?
Contact L&Q today for a free discovery session.