Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodo ....Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodology will expand conventional crashworthiness design to the coupled mechanical-electrochemical-thermal problems. The proposed crashworthiness optimisation of battery compartment structure will enhance safety and reliability of electric vehicles, potentially benefiting consumers and manufacturers.Read moreRead less
User-centric solutions to optimise safety of children in cars. Globally, incorrect use of child restraints and inappropriate use of adult seat belts are widespread and longstanding problems. In Australia alone >2 million children are at increased risk of injury because of the lack of understanding about how to solve these problems. We have pioneered development of methods to allow novel user-centred approaches coupled with behavioural theory to effectively tackle these problems. In this project ....User-centric solutions to optimise safety of children in cars. Globally, incorrect use of child restraints and inappropriate use of adult seat belts are widespread and longstanding problems. In Australia alone >2 million children are at increased risk of injury because of the lack of understanding about how to solve these problems. We have pioneered development of methods to allow novel user-centred approaches coupled with behavioural theory to effectively tackle these problems. In this project we will build on and extend these innovative methods to to deliver new understanding about how (i) to communicate with parents to ensure behaviours and decisions about restraint optimise safety, and (ii) user-driven design can solve problems inhibiting optimal protection of in cars.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101181
Funder
Australian Research Council
Funding Amount
$403,775.00
Summary
Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multipl ....Information Fusion for Tracking Objects in Large-Scale Sensor Network. This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multiple mobile agents (e.g. vehicle) to enhance their ability to anticipate situations in dynamic environments and to act effectively to enhance safety. This should provide benefits for the development of cooperative autonomous driving to enhance road safety.Read moreRead less