Search Results

A general purpose computer model has been developed for analyzing the thermal performance of thermofluid systems. The system thermal behaviour is governed by heat convection and conduction. The model represents a thermofluid system as a thermal network, consisting of several different fluid circuits which are separated by solid walls. The solid walls are represented by hexahedral elements with lumped heat capacitance. The model has the capability to set up and link an equivalent thermal network from input data, using two types of junctions: wall-to-wall and fluid-to-wall. The flow calculations are based on the one-dimensional incompressible flow equation and the heat transfer calculations are based on either forced or natural heat convection for internal and external flows. The heat convection formulae used in the model are in the non-dimensional form which simplifies the program structure.

An on line method for verification of chassis dynamometer operation uses a neural network. During the testing of a vehicle, it is assumed that after a warm up period the parasitic losses remain stable. There is normally no provision for verification of correct dynamometer operation while the test is running. This technique will detect if a component wears or fails during the testing of a vehicle and thus avoid testing under erroneous conditions. A Learning Vector Quantization (LVQ) neural network is trained to recognise poor dynamometer operation in order to signal a fault condition to the operator.

Complexity of electronics and embedded software systems in automobiles has been increasing over the years. This necessitates the need for an effective and exhaustive development and validation process in order to deliver fault free vehicles at reduced time to market. Model-based Product Engineering (MBPE) is a new process for development and validation of embedded control software. The process is generic and defines the engineering activities to plan and assess the progress and quality of the software developed for automotive applications. The MBPE process is comprised of six levels (one design level and five verification and validation levels) ranging from the vehicle requirements phase to the start of production. The process describes the work products to be delivered during the course of product development and also aligns the delivery plan to overall vehicle development milestones.

This paper describes the development and validation of a refined combustion model for turbulent flame propagation in SI engines. In this model the original differential equation of flame front entrainment remains, but a new difference equation of burning rate is introduced to replace the original differential equation. The model fully embodies the Tennekes-Chomiak mechanism of premixed turbulent combustion, presenting a flame thinner than the original model. A spark ignition model is also suggested. The model treats the electrical spark ignition as a diffusion wave to calculate the entrainment enhancement by the spark ignition. The simple formula of the initial flame propagation has been validated by measured results. Incorporated with this spark ignition model, the three-stage model of premixed turbulent flame velocity, published earlier by the authors, is used in the combustion model.

The objective of the Project is to develop an optimized lead-acid battery solution for HEVs based on a novel, individual, spirally wound valve-regulated lead-acid 2V cell optimized for HEV use and low variability. This cell will be used as a building block for the development of a complete battery pack that is managed at the cell level. Following bench testing, this battery pack will be thoroughly evaluated by substituting it for the NiMH pack in a Honda Insight. The paper covers the first half of the 3-year project and will describe work carried out in the following areas: Development of cell and battery testing facilities and identification of mechanisms causing cell lifetime scatter. The design and development of the prototype double-ended cell. The development of the battery pack specification and pack design. The development of the battery management system. The paper will also give details of the test results obtained on the demonstration vehicle with its original NiMH battery.

This paper discusses the use of SLIO CAN technology for low speed (<125 Kbit/s) body control system. The architecture of SLIO as well as its benefits and shortcomings are explained and illustrated. A body control system utilising the SLIO CAN technology has been build to investigate the feasibility of its implementation. The flexibility in adding enhancement and fault tolerance feature to the system is also addressed. The prior knowledge of CAN Specification 2.0 is assumed[1].

With the introduction of vehicular digitization and automation, there has been significant growth in the number of Electronic Control Units (ECUs) inside vehicles, followed by the broader use of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADSs). The growth of the number of ECUs has also significantly increased the number of user interfaces. To conduct safe driving, in addition to those related to the real-time control of the vehicle, a driver also needs to be able to digest information effectively and efficiently from various ECUs via the Human-Machine Interface (HMI). To evaluate the safety of ADS, including its interactions with system users, some work has suggested that they will need to be driven for over 11 billion miles. However, the number of test miles driven is not a meaningful metric for judging safety. Instead, the types of scenarios encountered by the driver-vehicle interactions during testing are critically important.

Hardware-in-the-loop (HIL) simulations have long been used to test electronic control units (ECUs) and software in car manufacturers. It provides an effective platform to the rapid development process of the ECU control algorithms and accommodates the added complexity of the plant under control. Accurate Model based HIL simulation (AMHIL) is considered as a most efficient and cost effective way for exploration of new designs and development of new products, particularly in calibration and parameterization of vehicle stability controllers. The work presented in the paper is to develop a mathematical model of a windscreen wiper system for the purpose of conducting HIL vehicle test and eventually to replace the real component with the model for cost cutting and improved test efficiency. The model is developed based on the electro-mechanical engineering principles.

The advent of 3D displays offers Human-Machine Interface (HMI) designers and engineers new opportunities to shape the user's experience of information within the vehicle. However, the application of 3D displays to the in-vehicle environment introduces a number of new parameters that must be carefully considered in order to optimise the user experience. In addition, there is potential for 3D displays to increase driver inattention, either through diverting the driver's attention away from the road or by increasing the time taken to assimilate information. Manufacturers must therefore take great care in establishing the ‘do’s and ‘don’t's of 3D interface design for the automotive context, providing a sound basis upon which HMI designers can innovate. This paper describes the approach and findings of a three-part investigation into the use of 3D displays in the instrument cluster of a road car, the overall aim of which was to define the boundaries of the 3D HMI design space.

The Controller Area Network (CAN) has seen enormous success in automotive body and powertrain control systems. However, there is a change in emphasis arising in the industry in which CAN is seen as too powerful and expensive for simple digital body control applications, but not robust or fast enough for more safety critical applications such as the envisaged Drive-by-Wire systems of future passenger cars. The emerging protocols Local Interconnect Network (LIN), the Time Triggered Protocols (TTP/A, TTP/C), Time Triggered CAN (TTC) and Byteflight are examined in terms of their application and likelihood for future success. The paper is concluded with comments concerning a newly announced protocol known as FlexRay.

The Controller Area Network (CAN) has seen enormous success in automotive body and powertrain control systems, as well as industrial automation systems using higher layer protocols such as CANopen and DeviceNet. Now, the CAN standard ISO11898 is being extended to Time Triggered CAN (TTCAN) to address the safety critical needs of first generation drive-by-wire systems. However, their successful development depends upon the availability of silicon and software support, and appropriate development & analysis tools. Warwick Control Technologies and the University of Warwick are tasked with prototyping a TTCAN analyser within the European Union Media+ project Silicon Systems for Automotive Electronics (SSAE) consortium, and with funding from the British Department of Trade and Industry (DTI). This paper briefly outlines the current status of both CAN & TTCAN technology and describes the requirements of a TTCAN analyser over that of a traditional CAN analyser.

The burn rate and the instantaneous in-cylinder heat transfer have been studied experimentally in a spray-guided direct-injection spark-ignition engine with three different fuels: gasoline, iso-octane and toluene. The effects of the ignition timing, air fuel ratio, fuel injection timing and injection strategy (direct injection or port injection) on the burn rate and the in-cylinder heat transfer have been experimentally investigated at a standard mapping point (1500 rpm and 0.521 bar MAP) with the three different fuels. The burn rate analysis was deduced from the in-cylinder pressure measurement. A two-dimensional heat conduction model of the thermocouple was used to calculate the heat flux from the measured surface temperature. An engine thermodynamic simulation code was used to predict the gas-to-wall heat transfer.

The objective of the research discussed in this paper is to propose a methodology for comparing candidate electrical architectures on a cost basis at the very beginning of the architecture design process. To achieve this objective, historical data concerning the cost of a wiring harness for a driver’s door electrical system is analysed along with information on an electrical architecture for the door system of a small four door passenger car. The study is focused around a driver’s door electrical system based on LIN and hardwired integration. However, it is concluded that the results are applicable to other types of automotive electrical architectures.

As systems necessarily become more integrated and increasingly complex through market demands for more features, technical risks and therefore business risks increase. It becomes correspondingly harder to show that the properties desired of these Systems of Systems (SoS) actually hold under normal or abnormal operation. In particular, it is hard to detect emergent properties of a SoS because properties of individual systems are not necessarily compositional, especially during failure. This paper describes the objectives of a project addressing the problem of Dependable System of Systems and other related research in the field of Automotive Electronics. The capability being developed is based upon the scalable ‘Assumption-Commitment’[1] paradigm so that it can be applied to large and complex systems of systems.

A Rover car equipped with a Controller Area Network (CAN) system was tested for radio frequency susceptibilities in the Electromagnetic Compatibility (EMC) chamber at Rover Gaydon Test Centre. The system consisted of four electronic control units linked together using a serial network (CAN) to share signal information. The car was configured in turn with two different types of twisted pair wire and a flat pair for the CAN data bus. Each type of wire was tested in the chamber at a range of frequencies and with various antenna positions. The CAN data was collected and stored on a commercially available personal computer (PC) based network analyzer for later analysis to determine bus latency under EMC error conditions.

We present a method for the estimation of vehicle mass and road gradient for a light passenger vehicle. The estimation method uses information normally available on the vehicle CAN bus without the addition of extra sensors. A composite parameter estimation algorithm incorporating a nonlinear adaptive observer structure uses vehicle speed over ground and driving torque to estimate mass and road gradient. A system of filters is used to avoid deriving acceleration directly from wheel speed. In addition, a novel data fusion method makes use of the regressor structure to introduce information from other sensors in the vehicle. The dynamics of the additional sensors must be able to be parameterised using the same parameterisation as the complete vehicle system dynamics. In this case we make use of an Inertial Measurement Unit (IMU) which is part of the vehicle safety and Advanced Driver Assist Systems (ADAS).

The pending introduction of controlled coolant flowrates in modern automotive cooling systems presents the opportunity to exploit a heat transfer phenomenon known as Nucleate Boiling. By allowing this initial phase of boiling, reduced coolant flowrates are possible yielding a reduction in cooling system losses and pumping effort. This paper will elaborate work on a proposed technique for controlling coolant flowrates such that an enhanced heat transfer coefficient due to nucleate boiling is maintained. Three heat flux estimation techniques are proposed and evaluated on a specially built test rig under laboratory conditions. The results will discuss the advantages and disadvantages of each technique and its applicability in an automotive cooling system. The paper extends the work in a publication presented previously at the JSAE, 2004 in Japan

Three independent measurements have been used to investigate combustion within a single cylinder four-stroke research engine operating at low load. THIN FILM GAUGES Heat transfer between the working fluid and the combustion chamber in an internal combustion engine is one of the most important parameters for cycle simulation and analysis. Heat transfer influences the in-cylinder pressure and temperature levels, engine efficiency and exhaust emissions. Heat transfer is determined using platinum thin film resistance thermometers exposed to the combustion gases. These give a frequency response of greater than 100kHz; hence can track heat transfer rate changes on the piston and cylinder head surfaces adequately. The thin film gauges overcome the problems of low bandwidths and large uncertainties associated with thermocouples.

For Computational Fluid Dynamics (CFD) to be influential in designing new engines, it has to be capable of providing useful design information to engineers in a short space of time. It is usual for several months to elapse from the time it is first decided to carry out a CFD simulation to obtaining the results. This is not acceptable and a target simulation turnaround time of one day is more appropriate. This work has investigated ways in which computational models, and especially meshes, can be built quickly both using commercial software and software written in-house. Simulations using these models have been carried out and this study shows that models with distorted cells can be built with ease by one person in a few days. Some current generation flow simulation packages cannot produce results using these models, but models with acceptable distortion are now built routinely and solved within two weeks.

The combustion timing, work output and in-cylinder peak pressure for HCCI engines often converge to a stable equilibrium point, which implies that the HCCI combustion may have a self-stabilization feature. It is thought that this behavior is due to the competing residual-induced heating and dilution of the reactant gas. As one of the most important features of HCCI combustion, the self-stabilization behavior can give great guidance to people for designing controller for HCCI engine control. The self-stabilization features of HCCI combustion had been observed by many researchers and mentioned in some publications. However, there is no report to experimentally analyze this phenomenon individually. Due to the fuel injection normally ending during the NVO process and the spark plug is turned off for HCCI engines, there is no direct control approach between the Intake Valve Close (IVC) and the start of combustion.