The R30-million infrastructure investment will make day-to-day travel, as well as longer day trips and even very long journeys possible for owners of electric vehicles, such as the soon to be introduced Jaguar I-PACE. With a range of up to 470km depending on driving style and conditions on a single charge, an I-PACE will comfortably fit into most drivers’ lifestyles, whether it’s commuting to and from work on a daily basis, or travelling the long distances required for inter-city holiday destinations.
In addition to the publicly available charging stations to be installed in customer parking areas at every Jaguar Land Rover retailer in South Africa, a total of 30 public charging stations will be erected at various points of convenience, such as shopping centres, in the country’s major hubs including Johannesburg, Pretoria, Durban, Cape Town, Port Elizabeth, East London and Bloemfontein.
South Africa’s city centres will now also be connected by the Jaguar Powerway – a series of 22 charging stations along the N3 between Gauteng and Durban and the N1 between Gauteng and Cape Town. Cape Town will also be connected to the Garden Route with a series of charging stations along the N2 all the way to East London.
Richard Gouverneur, Managing Director of Jaguar Land Rover South Africa and sub-Sahara Africa said:“As Jaguar we are proud to be setting the pace for the new generation of electric vehicles in South Africa. The launch of the Jaguar Powerway demonstrates our commitment to electrification technology and the future of mobility in our market. This new network provides peace of mind to our Jaguar I-PACE customers who can now experience more of their world with less range restrictions.”
The majority of charging stations on the public network will be 60kWh fast chargers, meaning 100km of range will take around 20 minutes for Jaguar I-PACE owners. A charge from 0 to 80% will take around 72 minutes.
Every charging station will also be equipped with a 22kWh AC fast charger to accommodate plug-in hybrid vehicles (PHEVs). The AC standard Type 2 socket will allow charging of all EVs currently available in South Africa. The DC charger is fitted with the CCS DC type socket used by the vast majority of EVs in SA.
Jaguar Land Rover owners will use an RFID card to activate the charging station and manage electricity billing to the card. Cards can be credited with simple EFT payments, much like cellphone airtime top-ups. Charging station electricity rates will also be discounted by 25% for all Jaguar Land Rover EV or PHEV owners.
Like petrol, the price of electricity fluctuates, but for now the rate for 1kWh on the card will be between R3 and R3.50 depending where in South Africa it’s redeemed. With a 90kWh battery, a full recharge in an I-PACE will cost between R270 and R315 – a fraction of the fueling costs of conventional internal combustion engine (ICE) vehicles.
The entire Jaguar charging grid and Powerway is expected to be operational by the end of November, 2018. The Jaguar I-PACE will be available in South Africa in the first quarter of 2019.
Project Bloodhound saved
The British project to break the world landspeed record at a site in the Northern Cape has been saved by a new backer, after it went into bankruptcy proceedings in October.
Two weeks ago, and two months after entering voluntary administration, the Bloodhound Programme Limited announced it was shutting down. This week it announced that its assets, including the Bloodhound Supersonic Car (SSC), had been acquired by an enthusiastic – and wealthy – supporter.
“We are absolutely delighted that on Monday 17th December, the business and assets were bought, allowing the Project to continue,” the team said in a statement.
“The acquisition was made by Yorkshire-based entrepreneur Ian Warhurst. Ian is a mechanical engineer by training, with a strong background in managing a highly successful business in the automotive engineering sector, so he will bring a lot of expertise to the Project.”
Warhurst and his family, says the team, have been enthusiastic Bloodhound supporters for many years, and this inspired his new involvement with the Project.
“I am delighted to have been able to safeguard the business and assets preventing the project breakup,” he said. “I know how important it is to inspire young people about science, technology, engineering and maths, and I want to ensure Bloodhound can continue doing that into the future.
“It’s clear how much this unique British project means to people and I have been overwhelmed by the messages of thanks I have received in the last few days.”
The record attempt was due to be made late next year at Hakskeen Pan in the Kalahari Desert, where retired pilot Andy Green planned to beat the 1228km/h land-speed record he set in the United States in 1997. The target is for Bloodhound to become the first car to reach 1000mph (1610km/h). A track 19km long and 500 metres wide has been prepared, with members of the local community hired to clear 16 000 tons of rock and stone to smooth the surface.
The team said in its announcement this week: “Although it has been a frustrating few months for Bloodhound, we are thrilled that Ian has saved Bloodhound SSC from closure for the country and the many supporters around the world who have been inspired by the Project. We now have a lot of planning to do for 2019 and beyond.”
Motor Racing meets Machine Learning
The futuristic car technology of tomorrow is being built today in both racing cars and
toys, writes ARTHUR GOLDSTUCK
The car of tomorrow, most of us imagine, is being built by the great automobile manufacturers of the world. More and more, however, we are seeing information technology companies joining the race to power the autonomous vehicle future.
Last year, chip-maker Intel paid $15.3-billion to acquire Israeli company Mobileye, a leader in computer vision for autonomous driving technology. Google’s autonomous taxi division, Waymo, has been valued at $45-billion.
Now there’s a new name to add to the roster of technology giants driving the future.
Amazon Web Services, the world’s biggest cloud computing service and a subsidiary of Amazon.com, last month unveiled a scale model autonomous racing car for developers to build new artificial intelligence applications. Almost in the same breath, at its annual re:Invent conference in Las Vegas, it showcased the work being done with machine learning in Formula 1 racing.
AWS DeepRacer is a 1/18th scale fully autonomous race car, designed to incorporate the features and behaviour of a full-sized vehicle. It boasts all-wheel drive, monster truck tires, an HD video camera, and on-board computing power. In short, everything a kid would want of a self-driving toy car.
But then, it also adds everything a developer would need to make the car autonomous in ways that, for now, can only be imagined. It uses a new form of machine learning (ML), the technology that allows computer systems to improve their functions progressively as they receive feedback from their activities. ML is at the heart of artificial intelligence (AI), and will be core to autonomous, self-driving vehicles.
AWS has taken ML a step further, with an approach called reinforcement learning. This allows for quicker development of ML models and applications, and DeepRacer is designed to allow developers to experiment with and hone their skill in this area. It is built on top of another AWS platform, called Amazon SageMaker, which enables developers and data scientists to build, train, and deploy machine learning quickly and easily.
Along with DeepRacer, AWS also announced the DeepRacer League, the world’s first global autonomous racing league, open to anyone who orders the scale model from AWS.
As if to prove that DeepRacer is not just a quirky entry into the world of motor racing, AWS also showcased the work it is doing with the Formula One Group. Ross Brawn, Formula 1’s managing director of Motor Sports, joined AWS CEO Andy Jassy during the keynote address at the re:Invent conference, to demonstrate how motor racing meets machine learning.
“More than a million data points a second are transmitted between car and team during a Formula 1 race,” he said. “From this data, we can make predictions about what we expect to happen in a wheel-to-wheel situation, overtaking advantage, and pit stop advantage. ML can help us apply a proper analysis of a situation, and also bring it to fans.
“Formula 1 is a complete team contest. If you look at a video of tyre-changing in a pit stop – it takes 1.6 seconds to change four wheels and tyres – blink and you will miss it. Imagine the training that goes into it? It’s also a contest of innovative minds.”
Formula 1 racing has more than 500 million global fans and generated $1.8 billion in revenue in 2017. As a result, there are massive demands on performance, analysis and information.
During a race, up to 120 sensors on each car generate up to 3GB of data and 1 500 data points – every second. It is impossible to analyse this data on the fly without an ML platform like Amazon SageMaker. It has a further advantage: the data scientists are able to incorporate 65 years of historical race data to compare performance, make predictions, and provide insights into the teams’ and drivers’ split-second decisions and strategies.
This means Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit.
“By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time,” said Pete Samara, director of innovation and digital technology at Formula 1.