It is all electric, as Audi unveiled its e-tron prototype SUV, the first completely electric vehicle from the company at this year’s Geneva Motor Show.
The Audi e-tron prototype offers a preview of the first all-electric model from the Audi brand. The camouflaged exterior conceals a sporty premium SUV with space for five people along with plenty of luggage room – the space and comfort are similar to that of a typical Audi luxury class model.
With a range suitable for longer journeys and the comprehensive charging options planned to be available, customers can drive purely electrically without making any compromises. The production version of the Audi e-tron prototype can fill up electricity at fast-charging stations with up to 150 kW of charging capacity in just under 30 minutes.
The production version of the Audi e-tron is planned to be launched to the European market at the end of 2018, when more details about the vehicle will be revealed. The car is produced at a carbon-neutral plant in Brussels.
The launch of the Audi e-tron, sets an important milestone for Audi’s future. In 2020, the brand plans to have three all-electric vehicles in the product range, with a four-door Gran Turismo – the production version of the Audi e-tron Sportback concept – and a model in the compact segment joining the sporty SUV. Audi plans to launch more than 20 electric cars and plug-in hybrids by 2025 – spread across all segments and concepts.
Showcasing high-voltage technology: behind the prototype’s design camouflage
The Audi e-tron prototype does not wear the traditional prototype camouflage, but instead illustrates its electrification genes with a specially developed design film in the colours of black, white and orange.
The distorted e-tron lettering stretches across the entire flank, as if it was charged with electricity. The “e” winds its way around the tailgate at the height of the front fender and is literally electrifying. Mimicking the high-voltage grid, orange elements illustrate the fact that the Audi e-tron prototype is fully electric – the lower part of the car, for example, is encircled with alternating orange and black segments. The expressive sills, with their colourful inserts, indicate where the battery and energy center of the car is located.
Four continents, more than five million kilometres: testing under extreme conditions
Up until the Audi e-tron is officially launched at the end of the year, the sporty SUV will complete test drives on four continents as part of its testing. Whether it’s in the cold temperatures of Scandinavia or in the heat of Africa; in the mountainous altitudes of Asia or on the north loop of the Nürburgring; in the stop-and-go traffic of major Chinese cities or on American highways – the purely electrically powered SUV has to prove its all-round qualities in uncompromising practical tests under extreme conditions.
Audi is testing the pre-series vehicles for customer-focused operation in all climate zones ranging from below -20 to above +50 degrees Celsius. In addition, intensive tests of the charging technology are being conducted worldwide – an important safeguarding criterion for battery-electric models. The individual charging standards are tested on proving grounds and in public areas to validate the full range of different charging options.
In total, just fewer than 250 Audi e-tron prototypes are to be used in the tests. They will cover more than five million kilometres – roughly equivalent to 125 times around the earth and 85,000 hours on the road.
Hunting down the prototype in Geneva: a pre-launch campaign
Prior to the world premiere, part of the Audi e-tron test fleet will be out on public roads wearing the electrifying camouflage design. The distinctive prototypes made their first stop in Geneva, driving past prominent sites in the Swiss metropolis as part of the 2018 Geneva Motor Show activities. The public have been encouraged to photograph the prototypes in its designer livery and post their scoop photos on social media using #etron. Audi will publish the best pictures on the website at www.e-tron.audi, without any hide-and-seek.
Meet Aston Martin F1’s incredible moving data centre
The Aston Martin Red Bull Racing team faces a great deal more IT challenges than your average enterprise as not many IT teams have to rebuild their data center 21 times each year and get it running it up in a matter of hours. Not many data centers are packed up and transported around the world by air and sea along with 45 tonnes of equipment. Not many IT technicians also have to perform a dual role as pit stop mechanic.
The trackside garage at an F1 race is a tight working environment and a team of only two IT technicians face pressure from both the factory and trackside staff to get the trackside IT up and running very fast. Yet, despite all these pressures, Aston Martin Red Bull Racing do not have a cloud-led strategy. Instead they have chosen to keep all IT in house.
The reason for this is performance. F1 is arguably the ultimate performance sport. A walk round the team’s factory in Milton Keynes, England, makes it abundantly clear that the whole organization is hell bent on maximizing performance. 700 staff at the factory are all essentially dedicated to the creation of just two cars. The level of detail that is demanded in reaching peak performance is truly mind blowing. For example, one machine with a robotic arm that checks the dimensions of the components built at the factory is able to measure accuracy to a scale 10 times thinner than a human hair.
This quest for maximum performance, however, is hampered at every turn by the stringent rules from the F1 governing body – the FIA. Teams face restrictions on testing and technology usage in order to prevent the sport becoming an arms race. So, for example, pre-season track testing is limited to only 8 days. Furthermore, wind tunnel testing is only allowed with 60% scale models and wind tunnel-usage is balanced with the use of Computational Fluid Dynamics (CFD) software, essentially a virtual wind tunnel. Teams that overuse one, lose time with the other.
In order to maximize performance within uniquely difficult logistical and regulatory conditions, the Aston Martin Red Bull Racing team has had to deploy a very powerful and agile IT estate.
According to Neil Bailey, Head of IT Infrastructure, Enterprise Architecture and Innovation, their legacy trackside infrastructure was “creaking”. Before choosing hyperconverged infrastructure, their “traditional IT had reached its limits”, says Bailey. “When things reach their limits they break, just like a car,” adds Bailey.
The team’s biggest emphasis for switching to HPE’s hyperconverged infrastructure, SimpliVity, was performance. Now, with “the extra performance of SimpliVity, it means it doesn’t get to its limits,” says Bailey. HPE SimpliVity has helped reduce space, has optimized processing power and brought more agility.
One of the first and most important use cases they switched to hyperconverged infrastructure was post-processing trackside data. During a race weekend each car is typically fitted with over 100 sensors providing key data on things like tyre temperature and downforce multiple times per second. Processing this data and acting on the insights is key to driving performance improvements. With their legacy infrastructure, Bailey says they were “losing valuable track time during free practice waiting for data processing to take place.” Since switching to HPE SimpliVity, data processing has dropped from being more than 15 minutes to less than 5 minutes. Overall, the team has seen a 79% performance boost compared to the legacy architecture. This has allowed for real time race strategy analysis and has improved race strategy decision making.
Data insights helps the team stay one step ahead, as race strategy decisions are data driven. For example, real time tyre temperature data helps the team judge tyre wear and make pit stop decisions. Real time access to tyre data helped the team to victory at the 2018 Chinese Grand Prix as the Aston Martin Red Bull cars pitted ahead of the rest of the field and Daniel Ricciardo swept to a memorable victory.
Hyperconverged infrastructure is also well suited to the “hostile” trackside environment, according to Bailey. With hyperconverged infrastructure, only two racks are needed at each race of which SimpliVity only takes up about 20% of the space, thus freeing up key space in very restricted trackside garages. Furthermore, with the team limited to 60 staff at each race, only two of Bailey’s team can travel. The reduction in equipment and closer integration of HPE SimpliVity means engineers can get the trackside data center up and running quickly and allow trackside staff to start work as soon as they arrive.
Since seeing the notable performance gains from using hyperconverged infrastructure for trackside data processing, the team has also transitioned some of the factory’s IT estate over to HPE SimpliVity. This includes: Aerodynamic metrics, ERP system, SQL server, exchange server and the team’s software house, the Team Foundation Server.
As well as seeing huge performance benefits, HPE SimpliVity has significantly impacted the work patterns of Bailey’s team of just ten. According to Bailey, the biggest operational win from hyperconverged infrastructure is “freeing up engineers’ time from focusing on ‘business as usual’ to innovation.” Traditional IT took up too much of the engineers’ time monitoring systems and just keeping things running. Now with HPE SimpliVity, Bailey’s team can “give the business more and quicker” and “be more creative with how they use technology.”
Hyperconverged infrastructure has given Aston Martin Red Bull Racing the speed, scalability and agility they require without any need to turn to the cloud. It allows them to deliver more and more resources to trackside staff in an increasingly responsive manner. However, even with all these performance gains, Aston Martin Red Bull Racing has been able to reduce IT costs. So, the users are happy, the finance director is happy and the IT team are happy because their jobs are easier. Hyperconvergence is clearly the right choice for the unique challenges of Formula 1 racing.
Body-tracking tech moves to assembly line
Technology typically used by the world’s top sport stars to raise their game, or ensure their signature skills are accurately replicated in leading video games, is now being used on an auto assembly line.
Employees at Ford’s Valencia Engine Assembly Plant, in Spain, are using a special suit equipped with advanced body tracking technology. The pilot system, created by Ford and the Instituto Biomecánica de Valencia, has involved 70 employees in 21 work areas.
Player motion technology usually records how athletes sprint or turn, enabling sport coaches or game developers to unlock the potential of sport stars in the real world or on screen. Ford is using it to design less physically stressful workstations for enhanced manufacturing quality.
“It’s been proven on the sports field that with motion tracking technology, tiny adjustments to the way you move can have a huge benefit,” said Javier Gisbert, production area manager, Ford Valencia Engine Assembly Plant. “For our employees, changes made to work areas using similar technology can ultimately ensure that, even on a long day, they are able to work comfortably.”
Engineers took inspiration from a suit they saw at a trade fair that demonstrated how robots could replicate human movement and then applied it to their workplace, where production of the new Ford Transit Connect and 2.0-litre EcoBoost Duratec engines began this month.
The skin-tight suit consists of 15 tiny movement tracking light sensors connected to a wireless detection unit. The system tracks how the person moves at work, highlighting head, neck, shoulder and limb movements. Movement is recorded by four specialised motion-tracking cameras – similar to those usually paired with computer game consoles – placed near the worker and captured as a 3D skeletal character animation of the user.
Specially trained ergonomists then use the data to help employees align their posture correctly. Measurements captured by the system, such as an employee’s height or arm length, are used to design workstations, so they better fit employees.