EV rapid charging is the bane of every electric vehicle owner’s life.

Rapid charging networks are essential if the future of motoring really is an electrified vision. The network is already under significant pressure, but new software from Elysia could might reduce charging time which would also make life that bit easier.

Elysia’s new Battery Intelligence uses WAE Technologies’ (WAE), experience in motorsport. The high-performance batteries are seen in the electric motorsport series, road cars, electric hypercars, and in particular, the 1.4 MWh packs for 250 tonne mining trucks.

The algorithms increase the performance of electric vehicle batteries, including faster charging. The UK will see 12.6 million journeys over the holiday weekend, with many of them in electric cars. Significantly, EVs made up 17.9 per cent of new UK car sales in June, a 40 per cent increase in volumes over this time last year. Some fear charging demand is likely to exceed supply at points during holiday peaks. Faster charging is one way to help limit wait times and stretch the availability of the existing network.

Elysia stated that 25 per cent faster charge times could be had if batteries left the factory with its intelligent software. 10mins, less at each charging stop means a faster trip and shorter queues. Anyone who has made the trip to a network know what although the apps tell you what is available, how fast it charges, and how much it costs, it can’t tell you how many others are waiting. You don’t find that out until you get there.

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ABOVE: Elysia Battery Technology

Elysia Commercial Lead Joe Jones explains: “To protect the life of the battery, an electric car currently leaves the factory with a predetermined set of parameters that govern its performance, including how quickly it can be rapidly charged.

“Elysia offers car makers a much more sophisticated approach, unlocking improved performance safely and with no impact on battery life. Our intelligent charging algorithms allow the Battery Management System (BMS) to understand what conditions have the potential to damage the battery, and then using this information stay closer to the peak charging rate for longer, without ‘overstepping’ these limits.

“By reducing the time spent on a rapid charger by 10 mins for a typical electric vehicle, Elysia can increase the number of cars each charger can service in a day. The benefit here being twofold: happier electric car owners and more efficient utilisation of the existing rapid charging network.”

Elysia uses AI and data science, with electrochemical modelling expertise, and has more than a decade of battery experience. It has seen WAE increase performance and longevity of batteries with charging some of the world’s toughest environments on the planet – with software playing a vital role.

Elysia is the first mass market software from WAE, which it claims can unlock the true potential of any battery.

Elysia Embedded:

It is a group state-of-the-art battery management algorithms that run on the vehicle’s BMS. These best-in-class BMS algorithms can assist OEMs to increase usable energy, enable faster charging, and maximise battery power. In the past, fast charging shortened the life of the battery, one of the most expensive parts in an EV. New management software will maximise utilisation of the battery itself without risking battery life.

Conventional battery management systems needs data from testing, and its performance limits are specified by cell suppliers in order to create the software that controls how the battery is used, Elysia Embedded’s algorithms offer car manufacturers the ability to unleash untapped potential through intelligent ‘physics-informed’ models.

This has been important in WAE’s motorsport experience, and even better, these algorithms have been designed to run on standard low-cost chips that are seen in existing mass-market battery management systems. So far, the management system has been able to show a 30% increase in battery life, faster charging times, and finally, and higher peak power output compared to the traditional battery management algorithms we have seen in EVs so far.

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