Technical consultants Ryan Maughan is an award-winning engineer and business leader with more than 20 years’ experience in the High-Performance, Heavy-Duty and Off-Highway Automotive markets. Prominent in the development of Power Electronics, Electric Motors and Drives (PEMD) for these demanding applications, he has successfully founded, scaled and exited three businesses in the electric vehicle space. He is currently CEO of eTech49 Limited, an advisory business specialising in disruptive hardware technology in PEMD. In addition, he is Chairman of EV North, an industry group representing the booming EV industry in the north of England, a board member of the North East LEP and an adviser to a number of corporations. Danson Joseph has had a varied career in the electrical power industry, having worked in areas ranging from systems engineering of photovoltaic powerplants to developing the battery packs for Jaguar Land Rover’s I-Pace SUV. With a PhD in electrical machines from the University of Witwatersrand in South Africa, Danson has focused on developing battery systems for automotive use. After completing the I-Pace project he formed Danecca, a battery development company with a focus on prototyping and small-scale production work, as well as testing and verifying cells and packs destined for mass production. Dr Nabeel Shirazee graduated from Leicester University in 1990, where he studied electrical and electronic engineering. An MSc in magnetic engineering followed at Cardiff University, where he continued his studies, earning a PhD and developing a permanent magnetic lifting system that has been patented by the university. His interest in magnetics led to a patented magnetic levitation system that was awarded the World’s No 1 Invention prize at INPEX in the USA. In 1999, he founded Electronica, a magnetics research and design consultancy. Since then, he has been involved in various projects, including the design of an actuator motor for a British aerospace company. He has also licensed the levitation technology in France. Ryan Maughan Danson Joseph Dr Nabeell Shiirazee Researchers in the US have developed a solid-state lithium-air battery cell with a potential energy density of 1000 Wh/kg (writes Nick Flaherty). The capacity is potentially four times that of the current lithium-ion battery technology used in heavy-duty vehicles such as aircraft, trains and submarines. The electrolyte is a mix of polymer and ceramic materials that takes advantage of the ceramics’ high ionic conductivity and the high stability and high interfacial connection of the polymer. The electrolyte is based on Li10GeP2S12 nanoparticles embedded in a polyethylene oxide polymer matrix. The result allows for the critical reversible reaction that enables the battery to function – lithium dioxide formation and decomposition – to occur at high rates at room temperature. It is the first demonstration of this in a lithium-air battery. “We found that solid-state electrolyte contributes around 75% of the total energy density,” said Mohammad Asadi, Assistant Professor of chemical engineering at Illinois Institute of Technology. “That tells us there is a lot of room for improvement, because we believe we can minimise that thickness without compromising performance, which would allow us to achieve a very high energy density.” Prof Asadi said he plans to work with industry partners to optimise the battery’s design and engineer it for manufacturing. The prototype cell is rechargeable for 1000 cycles with a low polarisation gap, and it can operate at high rates. BATTERIES Lithium-air’s quadruple potential The Grid March/April 2023 | E-Mobility Engineering 11 12 January/February 2024 | E-Mobility Engineering The Grid BATTERY TECH Combining machine learning and electrochemical models Eatron Technologies and About:Energy are developing a decision-engine for battery management systems (BMS) that combines machine learning and electrochemical models, writes Nick Flaherty. The aiMAGINE project aims to use machine learning frameworks in the BMS to extend the life of a battery pack in electric vehicles and scooters. Current BMS rely on simple, empirical methods that sacrifice accuracy in return for reduced computational effort. However conventional AI methods remain challenging to integrate within the BMS due to their complexity, demanding training process, and the need for large volumes of input data. The aiMAGINE project combines About:Energy’s electrochemical battery models that achieve rapid and accurate calibration with Eatron’s edge and AIpowered cloud platform. This should provide more accurate assessments of state-of-charge (SoC), state-of-health (SoH) and (patented) remaining useful life predictions. The AI complements the electrochemical models, enhancing predictions by accounting for complex physical behaviours that cannot be modelled. This will allow the AI-powered decision engine (AI-DE) to provide highly accurate operational parameters to the BMS, significantly increasing battery pack longevity and simplifying integration. “Implementing our novel AI-powered intelligent battery software layer with this revolutionary AI-DE can extend a battery pack’s first life by up to 20%,” said Dr Umut Genc, CEO of Eatron.
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