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Cloud-Based Fleet Management Platform for Scalable EV Charging Infrastructure
  1. case
  2. Cloud-Based Fleet Management Platform for Scalable EV Charging Infrastructure

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Cloud-Based Fleet Management Platform for Scalable EV Charging Infrastructure

simform.com
Automotive
Energy & natural resources
Utilities

Challenges in Managing Distributed EV Charging Infrastructure

The client faced systemic issues with uptime control, GPS inaccuracies, and backend data processing strain across high-traffic environments. Service interruptions in billing and charging flows degraded user experience, while signal fluctuations caused location mismatches affecting field coordination and operational efficiency.

About the Client

Battery-integrated EV charging platform managing a distributed network of mobile charging units

Strategic Project Goals

  • Build scalable infrastructure for real-time fleet management
  • Implement telemetry-driven diagnostics for proactive maintenance
  • Optimize data processing for high-volume IoT signals
  • Enable remote device configuration and updates
  • Reduce development overhead through modular architecture

Core System Capabilities

  • Real-time fleet status dashboard with location tracking
  • Telemetry ingestion pipeline for device diagnostics
  • Event-driven backend for scalable data processing
  • Remote configuration and firmware update capabilities
  • Automated CI/CD pipelines for rapid feature deployment

Technology Stack Requirements

Cloud-native architecture
Kubernetes
Apache Kafka
IoT telemetry frameworks
Edge computing solutions

System Integration Needs

  • GPS location services
  • Billing/payment gateways
  • Energy grid APIs
  • CI/CD tools (Jenkins/GitHub Actions)

Operational Requirements

  • 99.99% uptime SLA
  • Sub-100ms telemetry latency
  • Horizontal scalability to 1M+ devices
  • Data integrity validation
  • ISO 27001 compliance

Anticipated Business Outcomes

Platform will support 100,000+ daily charge sessions with 50% reduced development cycles and 30% lower infrastructure costs. Real-time visibility will decrease service delays by 70% while remote management capabilities cut onsite interventions by 60%, enabling nationwide scalability with minimal operational overhead.

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