Smart Battery Health Management System
XmartFlux Battery Health Management System uses embedded sensing, edge AI, and predictive analytics to estimate battery state-of-health (SOH), predict degradation behaviour, and optimise battery performance in real time.
The platform improves battery reliability, reduces operational risk, extends battery lifespan, and enables smarter decisions for EV owners, fleet operators, insurers, financiers, and renewable energy providers. As electric vehicles and battery energy storage systems become critical parts of modern infrastructure, battery health visibility is becoming one of the biggest challenges across the energy and transport sectors.
Today, battery users often have limited understanding of actual battery condition, remaining useful life, degradation rate, charging impact, and future performance risks. This uncertainty creates significant problems for EV resale valuation, warranty assessment, fleet operations, insurance, predictive maintenance, and second-life battery reuse.
XmartFlux is developing Australia’s first AI-driven embedded battery health certification platform capable of estimating battery state-of-health with over 95% accuracy using real-time diagnostics, edge computing, and advanced AI models.
The platform integrates intelligent sensing systems, embedded edge-AI modules, predictive degradation algorithms, onboard diagnostics, and automated certification reporting. Unlike traditional diagnostic systems that rely on slow manual testing or cloud-only analytics, the XmartFlux platform performs real-time onboard battery analysis directly at the edge.
The system continuously analyses battery temperature, charging and discharge behaviour, voltage and current patterns, usage conditions, battery chemistry behaviour, and historical degradation trends. Using AI-driven predictive analytics, the platform can estimate battery state-of-health (SOH), predict remaining useful life (RUL), detect early signs of degradation, identify abnormal behaviour, optimise charging patterns, and reduce premature battery replacement.
The solution also supports automated battery certification for EV resale, warranty claims, fleet management, insurance assessment, and second-life battery deployment.
By improving battery transparency and predictive maintenance capability, XmartFlux helps reduce uncertainty across the EV and renewable energy ecosystem while supporting a more sustainable circular battery economy.
User story
From Battery Uncertainty to Predictive Intelligence
A national logistics company operating a growing electric vehicle fleet began experiencing inconsistent vehicle range, unpredictable battery degradation, and increasing maintenance uncertainty.
Although many vehicles appeared operational, fleet managers had limited visibility into the actual health of individual battery systems. Traditional diagnostic methods were slow, expensive, and often required vehicles to be taken out of service for lengthy testing.
The uncertainty created several operational and financial challenges:
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unexpected downtime,
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reduced fleet reliability,
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inconsistent vehicle performance,
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difficulty managing warranties,
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and uncertainty around battery replacement timing.
The company also faced growing concerns regarding the resale value of ageing EVs because there was no trusted and standardised method to certify battery condition.
XmartFlux's AI-Driven Battery Health Management platform continuously monitors battery performance in real time without interrupting vehicle operations.The system analyses charging cycles, thermal behaviour, operating conditions, charging patterns, degradation trends, and driver usage behaviour.
Instead of reacting to battery failures after they occurred, fleet operators could now proactively identify batteries degrading faster than expected, inefficient charging behaviour, abnormal thermal conditions, and vehicles at higher operational risk.
The platform also optimises charging strategies by recommending charging windows and charging speeds that reduce long-term battery stress.
As vehicles approach end-of-vehicle-life, XmartFlux generates automated battery certification reports to support warranty assessment, resale valuation, and second-life battery deployment into stationary energy storage systems.
Some certified batteries would be later repurposed into community solar and battery storage projects, extending battery life while reducing waste.
Outcome
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Improved visibility into battery performance and degradation
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Reduced unexpected battery-related downtime
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Increased battery lifespan through smarter charging optimisation
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More accurate EV resale and warranty assessment
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Lower operational and maintenance costs
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Greater confidence in second-life battery deployment
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Reduced premature battery replacement and recycling
This project demonstrates how AI-driven battery intelligence can transform battery management from reactive maintenance into predictive, data-driven optimisation across transport and energy systems.