Driving Digital Transformation in EV Infrastructure

How SequoiaAT engineered an IoT powered mobile charging ecosystem that connects devices in the field to a simple control center with real time visibility and control.

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EV charging and clean tech visuals from SequoiaAT

Summary

SequoiaAT partnered with an EV solutions company to deliver a full stack mobile charging platform. Devices in the field publish data over MQTT and Modbus to a secure cloud. Operators use dashboards for live status and alerts. The outcome is faster rollout, less field effort, and better energy use decisions.

The challenge

Monitor and control mobile charging units that use solar, battery, and generator power sources.
Normalize telemetry from varied devices such as solar controllers, fuel sensors, and chargers.
Deploy at scale with low field effort and secure role based access for teams and partners.
Evolve features quickly to meet pilot and business needs.

Our approach

We created an edge to cloud system that connects EV chargers, PLCs, sensors, and gateways to a cloud control layer. The design favors modular services, observability, and strong identity controls.

Cloud architecture for IoT

Docker based services for React and Django behind NGINX on AWS and GCP.
Low latency sync using MQTT and Modbus bridges even on weak links.
MySQL models with proper indexes for high read and write volume.

Identity and access

Auth0 single sign on with schema driven multi tenancy.
Role specific privileges for admin, maintenance, and operator roles.

Monitoring and alerting

Prometheus with Grafana and InfluxDB for telemetry and rules.
Fuel and equipment failure alerts with binary alarms and uptime tracking.
Configurable thresholds per client.

Dashboards and maps

Global control view and site detail pages in React.
Live charge level, fuel tank, generator output, solar performance, and GPS.
Google Maps for device clusters and status.

Device and charger integration

REST APIs for sessions and real time availability.
Modbus adapters from solar, generator, and fuel tank controllers.
Normalization across hardware models for clean data.

Embedded and PLC

Codesys compatible PLC logic with HMI support.
OpenPLC simulation for safer tests.

Business outcomes

Faster pilots
Containerized delivery helped quick field trials and regional rollouts.

Scalable footprint
Supports hundreds of mobile nodes with full observability.

Less field effort
Updates, alerts, and diagnostics from the cloud reduce visits.

Smarter decisions
Telemetry drives proactive maintenance and energy choices.

Conclusion

IoT, cloud, and embedded work together here. The result is a single platform for visibility and control that scales with demand and improves reliability in the field.

Frequently asked questions

How do you handle poor network coverage in the field

We design for store and forward on the edge and use MQTT quality of service settings. We also compress payloads and backoff intelligently.

Which chargers and sensors can you integrate

We work with a range of Modbus capable devices and publish adapters for new models. The goal is clean normalized data in the control plane.

Can the platform support new business rules

Yes. The rules engine and alert thresholds are configurable. Features ship behind flags so pilots can iterate fast.

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