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E-Mobility Engineering - Issue 030

Highlights in this issue include a dossier on the Doosan Bobcat and we have a conversation with Everatti’s head of engineering Tony Fong. Our deep insight delves into HIL testing and our digest article investigates Fellten’s Charge Qube. Our focus articles cover battery leak testing and cybersecurity plus much more…

£18.00 (£18.00)

E-MOBILITY ENGINEERING 030 – March/April 2025

  • Intro - The age of the affordable EV has finally arrived, along with improvements in e-mobility engineering, boosted by AI, stronger cybersecurity and optimised testing techniques
  • The Grid - Cutting battery development times with machine learning, an emulator for a 20 MW charging system, reducing on-resistance in e-bike designs, the world’s first fully-electric offshore sea vessel, the joy of silicon nitride ceramics, pulsating heat pipes, and much more
  • In conversation: Tony Fong - A self-confessed “tinkerer” of electrical systems, Everrati’s head of engineering is revving up old, luxurious classics with the latest powertrains
  • Dossier: Bobcat T7X electric compact track loader - In 2018, Bobcat identified compact track loaders as ideal for electrification and today it is making construction more sustainable with the T7X
  • Focus: Cybersecurity - Developers are coming up with new ways to make e-mobility safer and more secure
  • Insight: Motor testing - Electric motors at the heart of the propulsion system of EVs of all kinds must undergo intensive testing, involving many different technologies and procedures
  • EVD: Charge Qube - Fellten’s containerised system stores energy in repurposed battery packs and can charge many of them simultaneously
  • Deep insight: HIL testing - Combining digital models of components with simulations to create a digital twin of a vehicle that can be driven before it has been built – feeding the results back into the design
  • Focus: Battery leak testing - Reliable and accurate leak detection is essential at every stage of a battery’s life – from manufacturing to storage to in-service use, repair, recycling and disposal
  • PS: AI and battery management systems - Meeting the challenge of incorporating AI and machine learning into BMSs to reap the myriad benefits on offer

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