Industry Leading Research

We develop highly accurate Battery Management Analytics that can accurately estimate and predict critical states of Lithium-Ion batteries.

About Us


Battery Management Analytics

We develop highly accurate Battery Management Analytics that can accurately estimate both the State of Charge of Lithium-Ion batteries and the State of Health degradation.

Combined with industry leading prognosis of End of Discharge, State of Maximum Power and End of Usable Life.

We are currently developing our systems for primarily the Electric Vehicle market but, our technology can be applied equally to:

  • Satelites
  • Electric Vehicles
  • Unmaned Aerial Vehicles

Who Are We?

Altilium is a collective of dedicated researchers and engineers who specialise in Battery Monitoring Technology focused on the Satellite, Electric Aircraft/UAV and Electric Vehicle industries.

We strive to deliver cutting edge technology, combined with world class research in an environment that encourages independent thought.

Get to know our founder:

Our Features

Our area of expertise is in the Estimation and PHM (Prognostics & Health Management) algorithms and hardware for batteries (mostly Lithium-Ion). These include state of the art:

Our Services

Hardware Design

We design and development of embedded Observer and Control software with varied specifications including with GPU acceleration based on the Nvidia Cuda libraries.

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Software Design

We specialise in the design, development and implementation of Observer and Control software for both embedded and large scale systems.

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System Integration

We are capable of integrating our Control and observation software/hardware with practically all modern system infrastructure.

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Exploratory Analytics

We contract for one off and long term analysis of systems as well as exploratory analytics for improving process control as well as fault detection.

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Control & Automation

We design, develop and integrate the latest control and automation algorithms for almost any system.

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Research & Development

We provide ad hoc research & development as well as prototyping tailored to your needs.

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Our Blog

The Impact of Lithium-Ion Battery Polarising Impedance Modelling on End-of-Discharge Prognosis Accuracy

Christopher Ley. et. al. September, 2018

In Lithium-Ion batteries, the polarising impedance is an important characteristic that has been shown to be a complex function of, among others, both the state of charge and the demanded current. Therefore within a prognostic framework, which typically solely relies on the a prior modelling of the hidden state evolution, the correct characterisation of the functional surface with respect to state of charge and current impacts the accuracy of the predicted end-of-discharge probability density function. This is important in critical systems that rely solely on the Lithium-Ion as a power source and require an unbiased prediction of the end-of-discharge time. This paper demonstrates how a correctly modelled polarising surface can improve prediction accuracy over the state of the art models found in literature.

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