EV Battery Life Boosted with AI Insights
Rising EV Adoption and Battery-Centric Fleet Challenges
Driven by regulatory incentives and emission reduction targets, commercial fleets in Southeast Asia and Europe are rapidly adopting electric vehicles (EVs). This shift forces fleet operators to master new performance variables, which include addressing drivers' range anxiety concerns. At the heart of both challenges lies battery health, which now dictates uptime, cost of ownership, and vehicle safety.
EV batteries typically represent around 40% of a vehicle's total cost. If left unmanaged, degradation can lead to unplanned downtime, warranty issues, or early replacement, and worst of all, safety risks. Traditional ICE-focused telematics platforms cannot monitor or forecast EV battery health with the precision modern fleet operations demand.
Data Collection with ITUS EV Scanner
Datakrew addresses these gaps with ITUS, a US-patented OBD-II scanner designed for EVs. ITUS collects over 120 telemetry parameters per vehicle, including:
- Battery temperature, voltage, and current
- Charging cycles and charging power
- Cell-level voltage imbalance
- Driver behaviour and vehicle usage
- Environmental and route conditions
This raw telemetry becomes the input for OXRED, Datakrew's battery analytics platform.
Battery Intelligence and Predictive Analytics with OXRED
Trained on over 160 million kilometres of real-world EV fleet data, OXRED uses deep learning and physics-informed models to generate over 70 secondary performance metrics. These include:
- Real-time State of Charge (SoC) and State of Health (SoH)
- Remaining Useful Life estimation (RUL)
- Thermal event forecasting
- Charging efficiency patterns
- Battery degradation projections based on usage stress.
OXRED predicts potential battery failures three weeks in advance and forecasts SoH up to two years ahead with less than 3% margin of error.
Real-World Impact on EV Fleet Performance
Across deployments in commercial EV fleets, including delivery vans, light-duty vehicles, and electric buses, Datakrew has observed measurable performance gains:
- 50% improvement in safety
- 25% increase in vehicle uptime
- 20% extension in battery lifespan
- 10% higher resale value
These metrics are based on internal studies across light commercial vehicles, electric delivery vans, and buses.
Operational Insights and Risk Detection
Beyond diagnostics, OXRED supports operational improvements by identifying and tracking battery stressors that lead to degradation. These include:
- Overuse of DC fast charging
- Repeated deep discharge events below 20% SoC
- High-frequency rapid acceleration and braking
- Thermal stress due to environmental or route-based factors
- OEM-specific battery behaviour patterns across mixed fleets
These insights enable preventive actions, improved safety compliance, and long-term cost reductions through optimized usage and maintenance scheduling, enhancing EV battery longevity.
Alignment with Industry Trends
In 2024, global battery demand crossed one terawatt-hour, a milestone underscoring the rapid growth of EV adoption and declining battery costs. In the same year, average battery pack prices fell by over 25% globally, despite increases in average battery capacity. These trends contribute to lower vehicle manufacturing costs worldwide.
With the increased push to adopt greener transport and logistics solutions globally, OXRED's data-driven approach ensures that fleet owners and operators always stay on top of their investments. With real-time EV and ICE fleet performance monitoring, predictive and preemptive guidance based on actionable insights, Datakrew enables lower TCO and higher RoI across fleet deployments.
Conclusion
Effective EV fleet management extends beyond location tracking, driver behaviour monitoring, and battery management. Real-time insights into EV battery life, condition, and predicted performance enable fleet operators to maximize asset life, slash costs, and enhance safety.
For more information or to request a demo of the OXRED platform, contact Datakrew.