Coventry, United Kingdom
Coventry, United Kingdom

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An illustrative example embodiment of a system (20) includes a plurality of device chargers (22, 24, 26) configured to charge a power source of a portable electronic device (55). At least one transmitter (56) is associated with a portable electronic device. A plurality of detectors (32, 34, 36) are configured to be supported on a vehicle. The plurality of detectors (32, 34, 36) detect a wireless signal from the transmitter. A controller (40) utilizes information from the detectors regarding a detected wireless signal and determines a location of the transmitter relative to the plurality of device chargers. The controller (40) controls at least a selected one of the device chargers (22, 24, 26) to operate in the charging mode based on a proximity between the determined location of the at least one transmitter (56) and the predetermined location of the selected one of the device chargers (22, 24, 26).


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: GV-02-2016 | Award Amount: 12.06M | Year: 2016

PaREGEn addresses the short term scope of the GV-02 call via research into and the innovation of gasoline engines for light duty vehicles. Specifically, engines used in mid to premium passenger cars will be addressed. With the electrification smaller vehicles, focusing on larger cars is especially important: the need for clean, efficient & economic engines for inter-urban transport is more urgent and effective to resolve the challenges of air quality, decarbonisation & cost-effective mobility. Through using state of the art techniques, like optical engines, modelling & simulation tools (for new control strategies or understanding particle formation) and applying new engine componentry, the optimal trade-off between efficiency & emissions will be found. Of attention will be the control of particle numbers between 10 to 23nm. This learning will be used in two, manufacturer lead vehicle demonstrations. These demonstrators will use downsized engines not yet on the market. The two approaches will use different combustion, dilution, fuel injection, boosting and aftertreatment systems. Completion of the project will show the way forward to a 15% CO2 reduction along with real driving emissions limits. If adopted across all light vehicles these short term engine innovations will reduce the EU vehicle parc emissions by ~2MtCO2 in 2025, <10MtCO2 & ~10% PN>10nm in 2030. As well as improving EU competitiveness, a valuable contribution from PaREGEn will be new tools: to benefit engine design, development & control in general, long after project completion. PaREGEn has partners from EUCAR, CLEPA & EARPA; it is organized so learning from other projects in GV02 can be integrated. Experience from the PMP project and those proposed on particle measurement systems will be included via the partners & suppliers of PN-PEMS. PaREGEns partners give a global link to other nationally funded activities and, specifically, specialists in advisory roles will bring expertise from USA & Japan.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 6.60M | Year: 2015

This project lays the foundations for Jaguar Land Rover and UK suppliers to combine their powertrain expertise and experience in a new, collaborative environment. This project will create an experimental make-like-production facility in which Jaguar Land Rover and our supply chain partners will participate in the investigation of manufacturing and assembly methods suitable for possible future use. The facility will include prototype machine tools and assembly systems which will allow us to research and innovate in this highly competitive area. The knowledge and confidence gained from the project will enable Jaguar Land Rover to continue to be market leaders in reducing consumption and emissions.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Small Business Research Initiative | Award Amount: 10.28M | Year: 2014

An innovative research project led by Jaguar Land Rover, ALIVE6, - will apply new technologies to the Ingenium engine family, striving to maximize fuel efficiency whilst maintaining the in-vehicle feel Jaguar Land Rover customers expect. The collaboration with Grainger and Worrall, Automotive Insulations and Nifco will research low friction cylinder bore coatings, thermal engine encapsulation and a composite sump respectively. Bosch (UK) Ltd and Mahle Powertrain bring advanced control technologies while downsizing and NVH technologies are supported by FEV UK Ltd and UEES The innovative powertrain technologies will offer improved fuel economy, low weight and excellent transient performance. The consortium members recognise the importance of collaborative advanced research projects supporting initiatives that will expand the UK’s competitiveness and develop skills, innovations and new technologies in the automotive sector and throughout the supply chain.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 15.16M | Year: 2016

An innovative research project led by Jaguar Land Rover, TRANSCEND - TRANsmission Supply Chain Excellence for Next generation Dual clutch technologies - strives to maximise fuel efficiency whilst maintaining the invehicle feel Jaguar Land Rover customers expect. The collaboration will develop a new transmission based around an ultra-wide ratio dual clutch architecture incorporating Jaguar Land Rover intellectual property. Drive System Design will lead the development of the transmission design and control while Tata Steel, Productiv and HVM Catapult will be responsible for developing both the manufacturing processes required and the supply chain necessary to take the transmission to production. The transmission will also benefit from 48V mild hybrid drive. This innovative transmission will offer improved fuel economy, low weight and seamless range changing performance. The consortium members recognise the importance of collaborative advanced research projects supporting initiatives that will expand the UK’s competitiveness and develop skills, innovations and new technologies in the automotive sector and throughout the supply chain


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 1.30M | Year: 2015

Lightweight crash management systems are of increasing importance for most forms of ground transport. Automotive OEMs like JLR have advanced aluminium automotive body designs but still depend on steel for bumper beams. For rail applications steel based crash systems predominate. Constellium has developed considerably stronger extrusion alloys based on the AA6xxx alloy system that are fully recycling compatible with the sheet used for automotive structures and body panels. Brunel University has developed alloys and casting technologies that enable extrusions and castings to be combined in novel ways to produce a new generation of compact lightweight crash management systems. The envisaged work programme will include a high strength alloy being combined with casting alloys using overcasting techniques and the use of bonded and riveted joints to demonstrate the potential for both increased crash resistance and weight saving. The project will demonstrate and evaluate optimised designs for crash management systems for both automotive and rail transport.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 2.10M | Year: 2016

An innovative research project led by Jaguar Land Rover, HyPACE (Hybrid Petrol Advanced Combustion Engine) will investigate new petrol engine technologies. The collaboration will integrate UK expertise from JLR (Combustion and Development), Borg Warner UK (Advanced Boosting Systems), Johnson Matthey UK (Emissions Control Technology), Cambustion (Emissions Development), MAHLE Powertrain UK (Engineering Consulting Services) and the University of Oxford (Advanced Optical Combustion Diagnostics). The collaborative project will target 10% engine fuel economy improvement in combination with emissions reduction and enhanced drivability. The collaborative project is part of JLRs wider strategy for lower emissions and improved engine fuel efficiency. While developing technical innovations, the partners will increase UK automotive competitiveness and skills. The project is aligned with the continued JLR investment in powertrain research as shown by the £1bn investment in the Wolverhampton Engine Manufacturing Centre.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 6.56M | Year: 2016

An innovative research project led by Jaguar Land Rover, LAtiTuDE investigates new technologies for the Ingenium engine family to improve on its class-leading fuel efficiency whilst maintaining the in-vehicle feel Jaguar and Land Rover customers expect. The collaboration brings together leading expertise from UK engineering organisations Ricardo and GRM, and suppliers Borg Warner and Bosch. The collaborative partnership will research a variable geometry, multi-stage and electronic boosting system integrated with an advanced engine combustion system incorporating leading edge fuel injection equipment and controls. Allied with an optimised engine structure, the research package is targeted to deliver over 10% fuel economy and CO2 improvement compared with current vehicles. The consortium members recognise the importance of collaborative research projects in supporting the UK’s competitiveness and developing skills, innovations and new manufacturing capability throughout the automotive supply chain.


Grant
Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 1.67M | Year: 2016

Vehicle energy management (EM) systems currently concentrate on controlling the drivetrain to deliver the requested power to the wheels optimally from one or more energy sources, depending on the level of hybridisation of the drivetrain. Despite the existence of a vast range of such systems, encompassing rule-based to optimisation-based schemes, a number of challenges remain and opportunities exist to realise the next generation of more efficient EM control. The Green Adaptive Control for Future Interconnected Vehicles project aims to directly address these challenges by developing, implementing and testing EM systems that will now be global (simultaneous optimisation of the drivetrain energy, auxiliary systems energy and driving speed rather than only of the drivetrain energy), predictive (optimisation over a look ahead horizon rather than just based on the instantaneous power demand), and newly adaptive (taking into account drivers preferences, traffic and other environmental conditions). The ultimate goal is to reduce by more than 3-5% the fuel consumption of the future fleet of passengers and light duty vehicles for a range of drivetrain architectures (conventional, electric and hybrid electric) and auxiliary systems (cooling systems, and other). To reach this objective this project will design, implement and demonstrate a new generation of EM together with an Adaptive Cruise Control system, which will automatically drive the vehicle at the most appropriate speed. For this to be effective, we also need to make the drivers aware of the benefits and to make small changes in their driving behaviour. Indeed, substantial reductions in energy consumption can be achieved by making small changes to the behaviour of a large number of drivers. Human factors methods will be used in this research to optimise the design of such new EM control systems. The proposed EM systems will have three operating modes: Autonomous, Coaching and Manual, which are all based on the same three layers structure. The first one is the Perception layer, which has the purpose of gathering navigation (e.g. route) information, driving information (e.g. the vehicle position, speed and acceleration), information related to the surrounding vehicles, and finally infrastructure conditions (e.g. the state of the next traffic lights series). We will use this information to feed the Decision layer, which is where the intelligence of the system will lay, and which will also be the core of our project. In the Autonomous mode, the system will manage the car in a much smarter way than a human driver by selecting, case by case, the most appropriate vehicle speed and acceleration taking into account all environmental constraints such as road characteristics, desired time to destination and traffic conditions. Once the EM and speed will be optimised, the Action layer will safely drive the vehicle at the most appropriate speed thanks to the Adaptive Cruise Control system. Even if drivers are not always keen to accept such autonomous systems and want to drive according to their personal style, significant fuel reduction may be achieved by using predictive optimisation, in which the system tries to anticipate the future power demand, which is predicted by the system itself according to the information available. Indeed, by selecting the Manual operating mode, the driver behaviour will be predicted by using a mathematical model that will be appositely developed in this project and eventually we will use such prediction to optimise the EM and reduce fuel consumption. Finally, while using the Coaching operating mode, the most appropriate speed will be calculated by the system and then recommended to the driver by using an appropriate haptic (and possibly visual and acoustic) Human Machine Interface, but the driver will maintain the freedom and the responsibility of keeping the preferred speed.


Patent
Jaguar Land Rover | Date: 2016-08-04

A driver advice system for a vehicle having at least one vehicle subsystem comprises a selector for receiving at least one driving condition indicator for the vehicle and for selecting, from a plurality of settings, a preferred setting for the at least one vehicle subsystem in response to the at least one driving condition indicator. The driver advice system includes an indication device for providing to the driver an indication of the preferred setting for one or more of the vehicle subsystems.

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