26 Oct 2020
Eaton Launches New Metal 3D Printing Program
Eaton's Vehicle Group is implementing a new 3D metal printing program as a part of its Industry 4.0 strategy to reduce development time and improve efficiency.
8 Sep 2020
Floading Brings Conversion of Europe's Largest Electric City Bus Order
Amersfoort-based electric charging infrastructure company Floading is bringing 130 electric buses to Hengelo where they will be adapted for use in The Netherlands.
7 Jul 2020
Hercules Electric Vehicles
Hercules Electric Vehicles is an early stage EV startup based in Detroit, Michigan, who are developing high performance luxury all-electric pickup truck.
30 Mar 2020
Green Motion is a Switzerland-based EV charger manufacturer.
22 Jan 2020
Finalists Announced for 2019 R&D 100 Awards
Finalists for the venerable R&D 100 Awards have been announced by R&D World magazine and its new parent company, WTWH Media, LLC.
6 Sep 2019
Massive Improvements Make 48V the Future Hybrid
IDTechEx predicts 48V hybrid will peak at a huge 13 million cars made in 2027, 10-15% of the car market. This is something that those with legacy assets in internal combustion ignore at their peril. There is more, as revealed in the new IDTechEx report "48V Mild Hybrid and 48V Full Hybrid Vehicles 2020-2030".
23 Jul 2019
Five types of 48V EV now
IDTechEx's Dr Peter Harrop looks at five types of EV now.
25 Mar 2019
Energy Storage Innovations 2019: Disruptive Technologies
Energy Storage Innovations 2019: Disruptive technologies, forms and applications on 10-11 April 2019 in Berlin brings together various stakeholders from the energy storage ecosystem, covering key topics from materials trends and technology innovations, to manufacturing breakthroughs, to end-of-life value extraction.
26 Feb 2019
Huge Battery Opportunities from Radical Changes in EV Demand
The biggest demand for lithium-ion batteries is moving away from cars and in electric cars it will be a matter of less battery on average.
30 Jan 2019
Identifying artificial intelligence "blind spots"
A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could use this model to improve the safety of artificial intelligence systems, such as driverless vehicles and autonomous robots.