McLaren Racing Limited, trading as McLaren Honda, is a British Formula One team based at The McLaren Technology Campus, Woking, Surrey, England. McLaren is best known as a Formula One constructor but has also competed and won in the Indianapolis 500 and Canadian-American Challenge Cup . The team is the second oldest active team after Ferrari. They are one of the most successful teams in Formula One history, having won 182 races, 12 drivers' championships and 8 constructors' championships. The team is a wholly owned subsidiary of McLaren Technology Group.Founded in 1963 by New Zealander Bruce McLaren, the team won its first Grand Prix at the 1968 Belgian Grand Prix but their greatest initial success was in Can-Am, where they dominated from 1967 to 1971. Further American triumph followed, with Indianapolis 500 wins in McLaren cars for Mark Donohue in 1972 and Johnny Rutherford in 1974 and 1976. After Bruce McLaren died in a testing accident in 1970, Teddy Mayer took over and led the team to their first Formula One constructors' championship in 1974, with Emerson Fittipaldi and James Hunt winning the drivers' championship in 1974 and 1976 respectively. 1974 also marked the start of a long-standing sponsorship by Phillip Morris' Marlboro cigarette brand.In 1981 McLaren merged with Ron Dennis' Project Four Racing; Dennis took over as team principal and shortly after organised a buyout of the original McLaren shareholders to take full control of the team. This began the team's most successful era: with Porsche and Honda engines, Niki Lauda, Alain Prost and Ayrton Senna took between them seven drivers' championships and McLaren six constructors' championships. The combination of Prost and Senna was particularly dominant—together they won all but one race in 1988—but later their rivalry soured and Prost left for Ferrari. Fellow English team Williams offered the most consistent challenge during this period, the two winning every constructors' title between 1984 and 1994. However, by the mid-1990s Honda had withdrawn from Formula One, Senna had moved to Williams and the team went three seasons without a win. With Mercedes-Benz engines, West sponsorship and former Williams designer Adrian Newey, further championships came in 1998 and 1999 with driver Mika Häkkinen and during the 2000s the team were consistent front-runners, driver Lewis Hamilton taking their latest title in 2008. In 2009 Dennis retired as team principal of McLaren handing the former role to longtime McLaren employee Martin Whitmarsh. At the end of 2013, after the team's worst season since 2004, Whitmarsh was ousted. In October 2014, Sam Michael, would be quitting his role at McLaren Racing. In 2013, McLaren announced they would be using Honda engines from 2015 onwards, replacing Mercedes-Benz. Wikipedia.
McLaren | Date: 2015-03-31
A mobile device comprising: a first transceiver configured to communicate with a plurality of base stations; a positioning unit configured to provide location information of the mobile device; the mobile device being configured to store connection criteria associated with a first base station of the plurality of base stations; and the mobile device being configured to, based on a location of the mobile device and the connection criteria, select the first base station of the plurality of base stations to communicate with, and initiate a connection with the first base station.
Agency: GTR | Branch: EPSRC | Program: | Phase: Training Grant | Award Amount: 3.94M | Year: 2014
The achievements of modern research and their rapid progress from theory to application are increasingly underpinned by computation. Computational approaches are often hailed as a new third pillar of science - in addition to empirical and theoretical work. While its breadth makes computation almost as ubiquitous as mathematics as a key tool in science and engineering, it is a much younger discipline and stands to benefit enormously from building increased capacity and increased efforts towards integration, standardization, and professionalism. The development of new ideas and techniques in computing is extremely rapid, the progress enabled by these breakthroughs is enormous, and their impact on society is substantial: modern technologies ranging from the Airbus 380, MRI scans and smartphone CPUs could not have been developed without computer simulation; progress on major scientific questions from climate change to astronomy are driven by the results from computational models; major investment decisions are underwritten by computational modelling. Furthermore, simulation modelling is emerging as a key tool within domains experiencing a data revolution such as biomedicine and finance. This progress has been enabled through the rapid increase of computational power, and was based in the past on an increased rate at which computing instructions in the processor can be carried out. However, this clock rate cannot be increased much further and in recent computational architectures (such as GPU, Intel Phi) additional computational power is now provided through having (of the order of) hundreds of computational cores in the same unit. This opens up potential for new order of magnitude performance improvements but requires additional specialist training in parallel programming and computational methods to be able to tap into and exploit this opportunity. Computational advances are enabled by new hardware, and innovations in algorithms, numerical methods and simulation techniques, and application of best practice in scientific computational modelling. The most effective progress and highest impact can be obtained by combining, linking and simultaneously exploiting step changes in hardware, software, methods and skills. However, good computational science training is scarce, especially at post-graduate level. The Centre for Doctoral Training in Next Generation Computational Modelling will develop 55+ graduate students to address this skills gap. Trained as future leaders in Computational Modelling, they will form the core of a community of computational modellers crossing disciplinary boundaries, constantly working to transfer the latest computational advances to related fields. By tackling cutting-edge research from fields such as Computational Engineering, Advanced Materials, Autonomous Systems and Health, whilst communicating their advances and working together with a world-leading group of academic and industrial computational modellers, the students will be perfectly equipped to drive advanced computing over the coming decades.
Agency: GTR | Branch: Innovate UK | Program: | Phase: Small Business Research Initiative | Award Amount: 2.43M | Year: 2014
With the ever more stringent requirements on improved fuel efficiency and CO2 emission reduction for road vehicles, a key enabling technology is the use of advanced composite materials to significantly reduce the mass of vehicles on the road. Life cycle analysis has shown that approximately 15% of total CO2 emissions results from material and parts production, assembly and disposal. The remaining 85% of the CO2 is emitted during operation and driving. The lighter the vehicle is, the less fuel is burnt and the lower are the CO2 emissions. A 10% reduction in vehicle mass improves fuel consumption by 7%, and every litre of fuel saved reduces CO2 emissions by 2.6kg. Advanced carbon fibre composite materials have higher strength to weight ratios, better chemical and heat resistance and greater design flexibility when compared to conventional automotive construction materials. A consortium, led by an automotive OEM, with partners including a material supplier, high value manufacturing catapult centres and an academic institution, aim to develop technologies that will significantly reduce the cost of utilising these advanced materials in vehicle structures, a traditional barrier to date. Through a combination of reduced material wastage and automated pre-form manufacture, these technologies will have a significant impact on the cost of resin transfer moulded composite components. Not only will they be of benefit to the automotive industry, but also to other industrial sectors such as wind energy, sporting goods and aerospace.
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 276.13K | Year: 2015
This project will develop and evaluate MEMS based vibration energy harvesting devices for high temperature sensing in aerospace, motorsport and automotive applications. The MEMS devices will be designed to scavenge energy from vibrations experienced in–situ with the aim of replacing power and transmission cables and batteries for powering of distributed miniature sensor conditioning and processing modules at temperatures of 150oC and above. The combination of vibration energy harvesting and high temperature electronics will open up new areas for monitoring of the health of the structures and components, saving weight in cables and costs and enabling ease of deployment and maintenance. The accuracy of sensing will be improved through the colocation of the sensing and control electronics in remote areas with in-situ power generation.
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 823.37K | Year: 2014
The electrification of road transport enables lower carbon emissions. However, conventional motors are not optimised for both weight and cost. This project aims to develop a new variation of switched reluctance machine that has the potential to meet both requirements. The power electronics required will be co-developed to ensure an integrated cost effective package. This project has the potential to make a significant impact on the cost reduction of electrified vehicles.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: FETHPC-1-2014 | Award Amount: 3.31M | Year: 2015
We are surrounded by moving fluids (gases and liquids), be it during breathing or the blood flowing in arteries; the flow around cars, ships, and airplanes; the changes in cloud formations or the plankton transport in oceans; even the formation of stars and galaxies are closely modeled as phenomena in fluid dynamics. Fluid Dynamics (FD) simulations provide a powerful tool for the analysis of such fluid flows and are an essential element of many industrial and academic problems. The complexities and nature of fluid flows, often combined with problems set in open domains, implies that the resources needed to computationally model problems of industrial and academic relevance is virtually unbounded. FD simulations therefore are a natural driver for exascale computing and have the potential for substantial societal impact, like reduced energy consumption, alternative sources of energy, improved health care, and improved climate models. The main goal of this project is to address algorithmic challenges to enable the use of accurate simulation models in exascale environments. Driven by problems of practical engineering interest we focus on important simulation aspects including: error control and adaptive mesh refinement in complex computational domains resilience and fault tolerance in complex simulations heterogeneous modeling evaluation of energy efficiency in solver design parallel input/output and in-situ compression for extreme data. The algorithms developed by the project will be prototyped in major open-source simulation packages in a co-design fashion, exploiting software engineering techniques for exascale. We are building directly on the results of previous exascale projects (CRESTA, EPiGRAM, etc.) and will exploit advanced and novel parallelism features required for emerging exascale architectures. The results will be validated in a number of pilot applications of concrete practical importance in close collaboration with industrial partners.
McLaren | Date: 2015-02-19
A communications system for providing data communication to a vehicle (10), the communications system comprising: a mobile transport layer proxy (150) located on the vehicle; a parent transport layer proxy (170) located remote from the vehicle; the mobile transport layer proxy being configured to: accept a transport layer connection with a host device (32, 33), the transport layer connection being addressed to a remote server (160); and communicate with the parent transport layer proxy via multiple paths using a multipath transport layer protocol to communicate on behalf of the host device whilst identifying as the mobile transport layer proxy; and the parent transport layer proxy being configured to: communicate with the mobile transport layer proxy using the multipath transport layer protocol; and communicate with the remote server whilst identifying as the parent transport layer proxy to communicate on behalf of the mobile transport layer proxy to permit the host device to communicate with the remote server.
McLaren | Date: 2016-06-24
A processing system for processing data defining behaviour of a physical system, the processing system being configured to operate on: (i) a plurality of data definition objects, each data definition object defining a method for computing one or more output result values for that object in dependence on one or more input values for that object; and (ii) a dependency schema defining one or more dependencies among the data definition objects, each dependency being such that a first data object is dependent on a second data object when the first data object takes as a required input value an output value of the second data object; the data processing system being capable of raising each data definition object to a computed state by executing the method defined in the respective data definition object to thereby compute one or more output values for that data definition object; and being configured to receive from a user an instruction indicating a request to raise a specific data definition object to a computed state, and in response to that instruction to automatically raise data definition objects on which that specific data definition object defines itself as being directly or indirectly dependent to a computed state.
McLaren | Date: 2015-04-01
Temperature regulation apparatus for a hybrid vehicle having a forced induction combustion engine and an electric drive motor, the apparatus comprising: a temperature regulating circuit carrying a fluid coolant; a heat exchanger for cooling the coolant; and a first coolant pump for circulating the coolant around the temperature regulating circuit; the temperature regulating circuit having: a first branch serving a charge air cooler of a forced induction combustion engine; and a second branch serving one or more electric drive components and including a second coolant pump for regulating the flow of the coolant through the one or more electric drive components; wherein the first and second branches of the temperature regulating circuit are arranged in parallel and the first coolant pump is arranged between the heat exchanger and the first and second branches of the temperature regulating circuit so as to be operable to circulate coolant from each of the first and second branches of the temperature regulating circuit through the heat exchanger.
McLaren | Date: 2016-02-18
A data management controller for a data processing system, the data processing system being capable of running one or more user space applications, each user space application defining: (i) one or more interface storage locations with which the data management controller can interact, each interface storage location being capable of storing interface data; and (ii) one or more services for processing data, each service interacting with at least one interface storage location during a processing run; the data management controller being configured to: (i) register each of the interface storage locations as an input data location or an output data location in response to the user space application so identifying the respective interface storage location to the data management controller; (ii) register the output data locations of user space applications as designated inputs to input data locations of one or more other user space applications; and (iii) in response to a user space application signalling that a processing run of a service is complete, initiate copying of the interface data stored in the output data locations with which that user space application interacts to the input data locations to which those output data locations are the designated inputs.