https://www.digitaltrends.com/mobile/havn-fleetonomy-ai-electric-car-fleet-news/
Exclusive: How A.I. keeps a fleet of chauffeur-driven electric SUVs charged
up
October 28, 2019  Andy Boxall

[images  
https://icdn7.digitaltrends.com/image/digitaltrends/jaguar-i-pace-best-car-2018.jpg
Jaguar I-Pace Best Car 2018

https://icdn8.digitaltrends.com/image/digitaltrends/fleetonomy-platform.jpg
havn fleetonomy ai electric car fleet news platform


video
https://vimeo.com/364265404
Havn - chauffeuring done differently  John LaMarca
Whether you're focused on an upcoming business meeting or jet-lagged from a
long haul flight, we'll ensure that you arrive happier and more relaxed than
when you joined us. Just use the Havn app to pre-book at least 30 minutes
before you need us and we will be there. Every journey in the fully electric
I-PACE contributes to our vision of a clean, safe and sustainable future -
without sacrificing comfort, performance or style
]

You’ve hailed your electric Jaguar I-Pace [
https://www.digitaltrends.com/car-reviews/2019-jaguar-i-pace-review/
] chauffeur-driven car, which will take you from London’s Heathrow airport
into the city, and it’s natural if some range anxiety may suddenly make you
question whether the battery-powered car will make it to you, or to your
destination.

There’s no need for concern. This is Havn [
https://www.ridehavn.com/
, a premium app-based chauffeur-driven car service with a high-tech,
artificial intelligence-driven platform underneath. This not only ensures
the car will absolutely have enough power to make the journey, but also a
driver who you have highly rated in the past will be driving. And in the
future, even your choice of music will be playing and the air-conditioning
will be set at your preferred level when you step inside the car.

Digital Trends can exclusively reveal Havn is powered by fleet management
startup Fleetonomy’s platform, which uses A.I. and machine learning to
ensure all of the above conditions are met, and a whole lot more behind the
scenes. We discussed with Fleetonomy [
https://fleetonomy.io/
] co-founder and CTO Lior Gerenstein how A.I. will enhance and manage the
service.

A.I. delivers a fully charged car
“Fleetonomy’s platform uses machine learning and A.I. to predict demand for
Havn’s service. This is done by combining a variety of data sources, such as
traffic, weather, events in the city, flight delays and historical data from
the service itself,” he explained over email.

This allows the platform to put its cars in the right place at the right
time, reducing the amount of time it takes for the car to reach you after
hailing it in the app. In turn, it lets Havn itself better exploit its fleet
of vehicles. However, Havn exclusively runs electric Jaguar I-Pace vehicles
— Havn is the product of InMotion Ventures, Jaguar Land Rover’s
transport-focused venture capital fund — and managing an all-electric fleet
is very different than managing gasoline-powered vehicles.

“Fleetonomy’s platform constantly receives real-time battery level updates
from all vehicles operating in the fleet,” Gerenstein said, but it’s when
charging is needed that things get really clever.

“Fleetonomy provides a smart charging strategy engine, which can make
real-time decisions on which vehicles need to be charged, and when. For
example – choosing between fast charging, which is quick but pricey, to slow
charging, which is longer but much cheaper. Our charging strategy oversees
battery levels across the entire fleet, and chooses which vehicles need to
be charged, when, for how long, and for what cost.”

What does this mean for you, the person waiting for your Havn car to arrive?

“Our dispatcher engine will always make sure that a vehicle has enough juice
to complete a journey, from the initial location to the passenger’s pick-up
point, to drop-off, and still have enough battery to make it to the nearest
charging point,” Gerenstein assured us.

Using Havn’s app
Havn launched in London in early September, but it’s only now Fleetonomy has
spoken out about how the complex behind-the-scenes platform will operate,
and how important A.I. and machine learning is to the process. This will be
reflected in the app, which is also operated on Fleetonomy technology, and
will make the journey more personalized.

“Fleetonomy uses machine learning to personalize the service to the
customer,” Gerenstein continued. “For example, if a customer prefers a
specific chauffeur, they will be able to signal this in the app, and the
dispatching engine will automatically try to find them a chauffeur whom they
have given a high review to. In the future, other aspects of the journey,
such as in-vehicle climate control, music, and other features will be
automatically tailored to the passenger’s wishes, after we have learned
their preferences.”

Havn has also said these preferences will include requesting the driver to
concentrate on the driving, rather than any conversation. It is also noted
in this Telegraph article published at Havn’s launch that all drivers are
fully trained, full-time employees.

Just the beginning
Havn’s fleet solely consists of Jaguar I-Pace SE vehicles. The
all-wheel-drive SUV has a range of up to 300 miles, races to 60mph in 4.5
seconds, and each Havn car comes with an iPad tablet and Wi-Fi, heated rear
seats, climate control, and privacy glass. We liked it so much, it received
our coveted Best Car award at the end of 2018.

The app is available for iOS and Android, but the service is currently only
available in London during this early stage. Prices vary between 39 British
pounds ($50) up to 150 pounds ($192), depending on the journey length.
Heathrow airport into central London will cost 74 pounds ($94), for example.
Travelers running late will be pleased to hear a 30 minute wait time is
included in the charge, it you’re behind schedule.

In 2020, if Havn is successful, it will receive a wider launch in the U.K.
Fleetonomy’s involvement in Havn has given an interesting insight into how
the unique needs of electric vehicles will be managed for this kind of
app-based car service now, and in the future.
[© digitaltrends.com]


+ (Public EVSE-L3 in Russia)
https://www.enelrussia.ru/en/media/news/d201910-enel-x-rus-installs-its-first-ev-charging-station-in-skolkovo-innovation-center.html
Enel X Rus installs its first EV charging station in Skolkovo innovation
center
9 October 2019 ...  charging station belongs to Enel X’s JuicePump family
and has three charging points: two with a capacity of 50 kW DC and one of 43
kW AC. The station is able to fill up two EVs at the same time, and can give
them a range of up to 200 km in just 30-40 minutes ...
https://cleantechnica.com/files/2019/11/Enel-X-Russia-EV-Charging-Station.jpg




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