Digitize service workflows and automate Annual Maintenance Contract (AMC) management for fleets, machines, and assets.
The future of electric mobility depends on intelligent battery management, predictive diagnostics, and real-time energy analytics. Jugno Pulse for EV & Battery OEMs delivers an advanced IoT and AI platform designed specifically for R&D Managers, Electrical Heads, and Product Engineering Teams seeking deeper insights into battery performance, lifecycle optimization, and predictive failure prevention.
Our platform enables EV manufacturers and Battery OEMs to transform raw telemetry into actionable intelligence — reducing warranty costs, enhancing safety, improving battery longevity, and accelerating innovation cycles.
Intelligent IoT Architecture for EV & Battery Systems
Jugno Pulse integrates seamlessly with:
- Battery Management Systems (BMS)
- Vehicle Control Units (VCU)
- Telematics Control Units (TCU)
- Onboard Chargers & Inverters
- Energy Storage Systems (ESS)
Using secure cloud architecture and edge analytics, we collect high-frequency operational data including:
- Cell voltage & temperature variance
- SOC (State of Charge) & SOH (State of Health)
- Charge-discharge cycles
- Thermal gradients
- Load patterns & stress analytics
- Environmental impact factors
Key Features for EV OEMs
- Secure multi-layer IoT data ingestion
- Edge + Cloud hybrid architecture
- AI predictive failure models
- Digital Twin battery simulation
- Remote firmware & diagnostics
- REST API integration for ERP / PLM systems
- Enterprise-grade cybersecurity compliance
The result: Complete visibility across the battery lifecycle — from lab validation to field deployment.
AI Predictive Usage & Failure Engine
Our AI engine uses advanced machine learning models to:
Predict Battery Failures Before They Occur
- Early detection of cell imbalance
- Thermal runaway risk alerts
- Degradation pattern identification
- Connector & wiring anomaly detection
Optimize Battery Performance
- Intelligent charge cycle optimization
- Adaptive load balancing
- Lifecycle extension recommendations
- Fleet-level usage pattern analysis
Built for R&D Managers & Electrical Heads
Jugno Pulse provides engineering-level dashboards with:
- Real-time diagnostic views
- Cell-level analytics
- AI-based anomaly scoring
- Predictive Remaining Useful Life (RUL) estimation
- Comparative batch analysis
- Validation testing
Warranty & Cost Optimization
- Root cause analysis
- Failure trend forecasting
- R&D feedback loop integration
- Reduced warranty claim risk
Business Impact for OEMs
| Impact Area | Outcome |
|---|---|
| Battery Life | 15–25% improved lifecycle |
| Warranty Cost | 20–30% reduction |
| Failure Detection | 40% earlier anomaly alerts |
| R&D Cycle Time | Faster validation & testing |
| Fleet Intelligence | Real-time fleet analytics |
Why Jugno Pulse?
- Designed specifically for EV & Battery OEM environments
- AI-driven predictive analytics
- Modular & scalable architecture
- Secure & compliant data infrastructure
- Enterprise-ready deployment