1000 km without recharging: what could be the long-range electric SUV

1000 km without recharging: what could be the long-range electric SUV


The automotive division of the company Dyson, which manufactures small appliances, last fall announced the termination of development of promising electric SUV. Now the head of the company, sir James Dyson has revealed some details of the project and showed how it could look like this machine is capable to pass without charging almost 1000 kilometers.

Work on the electrical “Dyson” was conducted in the strictest confidence from 2017. The original plan envisaged the construction of a pilot batch of vehicles for the company in the English County of Wiltshire, with the subsequent transfer of production to Singapore. On the conveyor the electric car was supposed to get up to 2020. However, things were different. In October last year, James Dyson sent out an email to employees in which he announced the closure of the project. The official reason – the car was very expensive, and the company are unable to figure out how to make it commercially viable.


Electric Dyson was a seven-seat crossover with a length of about five meters and with a ground clearance of 40-60 millimeters longer than the Range Rover. The car was based on the platform of the skateboard, equipped with self-leveling adaptive suspension with adjustable clearance, huge wheels with a diameter of 23 or 24 inches, the traction battery with solid electrolyte and two 200-kilowatt electric motors (split-return – 543 strength and 651 Nm). With a mass of 2.6 tons, the car could accelerate to 60 mph (97 kilometers per hour) in 4.8 seconds and pass on a single charge of 965 kilometers.

Support James Dyson spent personal 500 million pounds. But later admitted that all efforts were in vain. Electric crossover turned out fabulously expensive – at that price the company would have found few buyers and never produced a profit. The development turned, and the automobile division refocused on the development of other global projects: solid-state batteries, artificial intelligence and machine learning algorithms.

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