Media & News
UNSW & Industry Program
We are excited to join the UNSW Industry Accelerator Program. Throughout the program, we collaborated with various UNSW academics to integrate AudTech's solutions for sustainable community.
Our Online Battery Management System prototype, funded by the ACT Government’s Energy Innovation Fund
'Advanced United Technologies received $662,010 to develop an Australian-made AI-driven online battery health monitoring system that will improve the safety, reliability, and sustainability of lithium batteries.'
The project aims to deliver real-time diagnostics and predictive insights for large-scale energy storage applications, supporting Australia’s clean energy transition and circular economy objectives. It is led by Dr Huadong Mo (UNSW), in collaboration with Professor Daoyi Dong (UTS) and Professor Ian Petersen (ANU).
Our project, Health Status Estimation and Resilient Closed-Loop Supply Chain for Retired Electric Vehicle Batteries, was awarded AUD 334,052 under the AEA Ignite Round 1 program in Australia. The project focuses on developing advanced methods for assessing the health of retired EV batteries and designing a resilient closed-loop supply chain to enable their reuse, repurposing, and recycling.
It is mainly techically supported by the Battery Safety and Sustanability Group from UNSW, led by Dr Rachel Zhang, Dr Ripon Chakrabortty, Dr Huadong Mo, A/Prof Omar Hussain and Dr Lin Li.
We are now partner of ARC Research Hub
AudTech is now a partner of ARC Research Hub for Integrated Energy Storage Solutions.
250,000 AUD will be used for conducting the project "Understanding Energy: Building an AI platform to help buildings thrive in a rapidly evolving energy sector".
Large language models for forecasting and quantum reinforcement learning for distributed control will be co-developed by AudTech and UNSW researchers (Dr Huadong Mo and Dr Chaojie Li).
We are again partner of ARC Research Hub
AudTech is now a partner of ARC Research Hub for Resilient Intelligent Infrastructure Systems.
450,000 AUD will be used for conducting the project "Building resilience to cyber-physical power systems under climate-related disasters".
Distributed robust optimization and deep reinforcement learning methods will be integrated into the digital twin to guide the pre- and post-disaster response of power systems against violent storms. It will be co-developed by AudTech and UNSW researchers (Dr Huadong Mo and Dr Chaojie Li). It will be co-developed by AudTech and UNSW, ANU and University of Paris Saclay researchers (Dr Huadong Mo, Dr Chaojie Li, Prof Nasser Khalili, Prof Daoyi Dong, Prof Yiping Fang and Prof Anne Barros).
TRaCE Lab to Market Fund
Happy to announce that our project "Delivering Net-Zero Energy Buildings: A Next-Generation Hybrid Energy System with Demand-Side Management" - Stage 1 (1.05 Million) has been successful in the latest TRaCE innovation funding round. With UNSW researchers Deo Prasad AO FTSE, Huadong Mo, Chaojie Li, Lan Ding, William Craft, Yu Zhang, James Christian and Mark Lewis, we are embarking on developing, testing, upscaling and commercialising an AI-enabled Smart Energy Management System to better integrate the entire energy system for buildings. With strong industry partners, such as Sungrow, and Dubbo City Council, the nextGen system will predict urban heat events and building occupancy, among others, to pre-heat/cool buildings and actually deliver on 'data-led operations'.
Our project is now at the Department of Education:
https://www.education.gov.au/newsroom/articles/transforming-energy-management-drive-netzero-buildings
We Collaborate with UNSW and AEA on Battery Recycling, Repurposing and Reuse
We are partner of the newly funded ARC Research Hub for Next Generation Mining Methods
Our company will contribute to the ARC Research Hub for Next Generation Mining Methods in partnership with BHP, delivering innovative solutions for the safe reuse of retired batteries. The initiative will focus on developing second-life battery storage systems for mining camps and deploying electric trucks powered by retired EV batteries, enabling cost reduction and supporting net-zero emission mining operations.
