BEYOND THE PLUG
Smarter
EV Management: How Netstar FleetAI is Driving the Future of Electric Fleets
WORDS BY NETSTAR
As the fleet and automotive industries accelerate toward electrification, managing electric vehicles( EVs) is becoming more than just knowing where your vehicles are, it’ s about understanding how they operate, how efficiently they’ re charged, and how to extend their lifespan.
This is where Netstar FleetAI steps in. Designed as an all-in-one web and mobile-based solution, FleetAI is revolutionising the way electric fleets are managed. With advanced battery optimisation tools, real-time insights, and intelligent automation, FleetAI empowers fleet managers to make data-driven decisions that reduce costs, enhance sustainability, and keep vehicles on the road longer.
Why Netstar FleetAI?
Managing an electric fleet comes with unique challenges, particularly when it comes to battery performance, charging behaviours, and route optimisation. FleetAI addresses these with precision, offering:
• Reduced operational costs through predictive maintenance and smart charging
• Improved fleet performance by avoiding battery degradation
• Minimised battery replacement expenses with advanced monitoring
• Increased vehicle uptime through proactive alerts and diagnostics
Key Features Powering Smarter EV Fleets
• Battery Health Monitoring Netstar FleetAI continuously monitors the condition of individual battery units, detecting early signs of degradation or malfunction. This allows for preventative action before issues impact performance.
• Temperature Management With advanced temperature monitoring and control, fleets can avoid overheating, a key factor in premature battery wear, ensuring optimal operating conditions year-round.
• Capacity Forecasting Using predictive analytics, FleetAI forecasts future battery capacity based on usage patterns. This aids in route planning, load balancing, and long-term asset management.
• Charging Pattern Analysis The system provides detailed insights into charging behaviours, helping fleet managers develop optimal charging schedules that reduce strain on batteries and take advantage of off-peak energy rates.
• Balancing Algorithms Intelligent algorithms ensure uniform charging and discharging across battery cells, enhancing performance and extending battery life.
• State of Charge( SoC) Insights Real-time SoC visibility allows for precise energy management, ideal for planning daily routes, avoiding range anxiety, and ensuring vehicles return to base with power to spare.
28 ISSUE 52 APRIL 2025 / WWW. AFMA. ORG. AU