KIA Motors recently unveiled a new plug-in hybrid, the Niro, at the Geneva International Motor Show. The new derivative combines high versatility and crossover design appeal with maximum fuel efficiency from its new plug-in hybrid powertrain.
The Niro Plug-in Hybrid will go on sale across Europe during Q3 2017, pairing an economical 1.6-litre GDI (gasoline direct injection) engine with a 8.9kWh high-capacity lithium-polymer battery pack. The latest addition to KIA’s hybrid crossover range substantially reduces emissions over the more conventional Niro hybrid – engineers are targeting CO2 emissions below 30 g/km (combined, New European Driving Cycle) and a zero-emissions pure-electric driving range of over 55 kilometres. Final electric range and CO2 emissions figures will be published closer to the car’s on-sale date.
Michael Cole, Chief Operating Officer, KIA Motors Europe, commented: “Annual sales of plug-in hybrid models in Europe are expected to grow to more than 600,000 units by the end of 2023, while the crossover market is also forecast to expand in the coming years. There is a clear demand from customers for a vehicle which combines the practicality and ‘cool’ image of a compact crossover with the ultra-low emissions of an advanced plug-in powertrain. The Niro Plug-in Hybrid will be the only car on the market to offer this combination.”
“The Niro Plug-in Hybrid is one of the latest low-emissions cars from KIA which will help the company achieve its global target for 2020 – to improve fuel efficiency by 25% compared with 2014 levels.”
The Niro Plug-in Hybrid is one of two low-emissions vehicles unveiled by KIA at the Geneva International Motor Show, alongside the new Optima Sportswagon Plug-in Hybrid.
Engineers targeting 55-kilometre plus pure-electric range and sub 30 g/km CO2
The Niro Plug-in Hybrid offers buyers a convincing alternative to compact crossovers powered by traditional petrol or diesel internal combustion engines. The car gives owners the opportunity to complete short journeys and daily commutes with zero emissions and lower running costs.
At the heart of the Niro’s new plug-in powertrain is a high-capacity 8.9 kWh lithium-polymer battery pack, growing in size from the 1.56 kWh battery pack found in KIA’s hybrid crossover. The new battery pack is paired with a more powerful 44.5 kW electric motor (offering almost 40% more power, up from 32 kW) compared to the Hybrid model.
The battery and electric motor are paired with the Niro’s efficient 1.6-litre ‘Kappa’ four-cylinder GDI engine, which independently produces 77 kW and 147 Nm torque. The total power and torque output for the Niro Plug-in Hybrid’s powertrain will be 104 kW and 265 Nm, enabling the new model to accelerate from 0 to 100 km/h in 10.8 seconds (0.7 seconds quicker than the standard Niro).
With greater capacity and electric power output, KIA engineers are targeting a pure-electric driving range of over 55 km. While the standard Niro hybrid emits just 88 g/km of CO2 in its most efficient configuration, emissions for the Plug-in Hybrid model will drop significantly, to below 30 g/km (combined, New European Driving Cycle).
Power is applied to the road through the Niro’s six-speed double-clutch transmission (6DCT), allowing drivers to shift gears for themselves for a more immediate, more entertaining drive than other hybrid models equipped with a traditional electronic continuously-variable transmission (e-CVT). The 6DCT is paired with a Transmission-Mounted Electric Device (TMED), which allows the full output of both the engine and electric motor to be transferred in parallel through the transmission, with a minimal loss of energy. This differs from the power-split systems typical of an e-CVT hybrid, which converts a portion of engine output for delivery through the electric motor, resulting in power losses from energy conversion.
Energy-harvesting and predictive driving assistant technologies
The Niro Plug-in Hybrid provides owners with a range of technologies to enhance battery efficiency and improve the car’s range – in zero-emissions electric mode, and when the 1.6-litre engine is in use.
Regenerative braking technology allows the Niro to harvest kinetic energy and recharge the battery pack while coasting or braking, while a new Eco Driving Assistant System (Eco DAS) provides drivers with intelligent guidance on how to drive more efficiently under current conditions. Eco DAS includes Coasting Guide Control (CGC) and Predictive Energy Control (PEC), enabling drivers to maximise fuel mileage by suggesting when to coast or brake.
CGC alerts drivers as to the best time to lift off the accelerator and coast towards a junction, allowing the battery to regenerate under engine deceleration. Operating at certain speeds when a navigation destination is set, it alerts drivers when to coast via a small icon in the instrument cluster as well as an unobtrusive audible warning.
PEC uses the navigation and cruise control systems to anticipate topographical changes – inclines and bends – in the route ahead. It uses this information to determine when best to recharge the battery pack, or to direct stored energy to the wheels and actively manage energy flow accordingly. For example, if it detects an uphill incline coming up, the system may choose to retain more electrical energy to provide greater battery assistance climbing the hill. Conversely, if PEC detects an upcoming opportunity to coast downhill, it may choose to discharge some electrical energy ahead of time, enhancing short-term engine efficiency in the knowledge that it can recharge soon.
Niro retains crossover versatility with efficient powertrain packaging
The KIA Niro was engineered from the very start to accommodate a specific range of hybrid powertrains. The introduction of a plug-in hybrid powertrain therefore has minimal effect on packaging and versatility.
The Niro Plug-in Hybrid’s high-capacity battery pack is located beneath the floor of the 324 litre (VDA) boot and beneath the rear seat bench. This allows the new derivative to offer buyers greater practicality than other C-segment plug-in hybrid hatchback models, while space in the cabin of the Niro remains unaffected.
There is a dedicated space beneath the boot floor to store the Niro Plug-in Hybrid’s charging cable when not in use.
The Niro Plug-in Hybrid will follow its Hybrid sibling in offering an optional Towing Pack – rare amongst cars in the hybrid class – allowing owners to tow braked loads of up to 1,300 kg.
Plug-in Hybrid design and in-car safety and convenience technologies
The exterior and interior design of the KIA Niro Plug-in Hybrid has been adapted to differentiate the car from the existing Niro hybrid.
On the outside of the car, the Niro Plug-in Hybrid features a new satin chrome grille surround, as well as special chrome brightwork with a clean metallic-blue finish, applied to thin ‘blades’ in the front and rear bumpers. The Plug-in Hybrid model is available with 16-inch alloy wheels, engineered to reduce wind resistance, as well as new full-LED headlamps and dedicated ‘Eco Plug-in’ badging.
The interior of the Niro Plug-in Hybrid is upholstered in single-tone black leather, or two-tone light grey and black leather, finished with blue stitching, as well as a new blue surround for the dashboard air vents. The new derivative features a new 7.0-inch full-TFT driver instrument cluster, displaying key information about the powertrain – such as the battery’s state of charge – as well as offering suggestions for a more efficient driving style.
The dashboard is fitted with KIA’s latest 8-inch touchscreen infotainment and navigation system, configured for the Plug-in Hybrid model to display current electric-only range and the location of nearby charging stations. The infotainment system provides owners with maximum smartphone integration, offering Android Auto™ and Apple CarPlay™. KIA Connected Services powered by TomTomTM provides live traffic updates, weather forecasts and, in certain markets, speed camera alerts. The new Plug-in Hybrid model continues to offer buyers the Niro’s wireless smartphone charger, letting users charge their mobile devices on the move. A powerful JBL® premium sound system is also available, with Clari-Fi technology to restore the original sound of music that may be lost during the digital audio compression process.
The Niro Plug-in Hybrid offers buyers the same varied range of active safety technologies designed to avoid or mitigate the effects of a collision. As standard, the car is equipped with KIA Vehicle Stability Management (VSM) for maximum stability under braking and cornering. If VSM detects a loss of traction, it uses the car’s Electronic Stability Control (ESC) system and the electric motor-driven power steering to help the driver retain control. Other standard active hazard-avoidance technologies available to Niro Plug-in Hybrid buyers include, Autonomous Emergency Braking* (Forward Collision-Avoidance Assist), Lane Keeping Assist, and Driver Attention Warning. Optional safety technologies include Smart Cruise Control, Blind-Spot Collision Warning and Rear Cross-Traffic Collision Warning.
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.