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Variable flux permanent magnet synchronous machines (VFPMSMs) have been designed by using finite element analysis (FEA) to evaluate speed-torque capability considering requirement for magnetization state (MS) manipulation. However, due to its unique characteristic to change the MS, numerous combinations of design parameters need to be evaluated to achieve a final design. To accelerate the design process, this paper presents a method that consists of an equivalent magnetic circuit model and a process to obtain magnet width and thickness that satisfy target maximum torque and power factor (P.F.) capability. This model includes magnet operating point analysis under given magnet width and thickness condition to achieve target MS and avoid demagnetization at full load. This analysis provides desired stator magnetomotive force, magnet and stator induced flux linkage. Therefore, expected torque and P.F. capability is calculated.

This paper describes a variable magnetomotive force interior permanent magnet (IPM) machine for use as a traction motor on automobiles in order to reduce total energy consumption during duty cycles and cut costs by using Dy-free magnets. First, the principle of a variable magnetomotive force flux-intensifying IPM (VFI-IPM) machine is explained. A theoretical operating point analysis of the magnets using a simplified model with nonlinear B-H characteristics is presented and the results are confirmed by nonlinear finite element analysis. Four types of magnet layouts were investigated for the magnetic circuit design. It was found that a radial magnetization direction with a single magnet is suitable for the VFI-IPM machine. Magnetization controllability was investigated with respect to the magnet thickness, width and coercive force for the prototype design. The estimated variable motor speed and torque characteristics are presented.

This paper proposes a new hierarchical optimization technique for the vehicle body structure, by combining topology optimization and shape optimization based on the traction method. With the proposed approach, topology optimization is first performed on the overall allowable design domain in 3D. The surface is extracted from the optimization result and converted to a thin shell structure. Shape optimization based on the traction method is then applied to obtain an overall optimal body shape. In the shape optimization process, iterative calculations are performed in the course of consolidating parts by deleting those whose contribution is small. The result obtained by applying this method to the front frame structure of a vehicle is explained. The resultant optimal shape has stiffness greater than or equal to the original structure and is 35% lighter. This confirms the validity of the proposed technique. It was found, however, that some issues remain to be addressed.

An approach to designing an intelligent vehicle controller for partially supporting driver operation of a vehicle is proposed. Vehicle behavior is regarded as a system performed by the interaction between the driving environment, vehicle as a machine and driver expectations for the vehicle movements. Driver intention to accelerate or decelerate is mainly generated by the perception of the driving environment. The model we propose involves information on the driving environment affecting driver intention taking driver differences in perceiving the driving environment into account. An engineering model for installing the vehicle controller is expressed by a multipurpose decision-maker allowing explicit treatment of the driving environment, vehicle action, and driver intention. A reasoning engine deals with differences in individual driver traits for generating intention to decelerate by using fuzzy integrals and fuzzy measures.

Vehicle roll behavior has a large influence on how drivers evaluate handling performance. This paper describes an approach to quantifying roll behavior experimentally and presents a method for designing suspension properties to improve the sensation of roll. In this study, it was found that using pitch motion as an evaluation index results in good correspondence with subjective evaluations. To obtain acceptable roll behavior, it is important to control pitch motion during roll to a lower mode at the front end relative to the rear. This desirable behavior can be achieved by designing suitable roll center characteristics, nonlinear load changes and damping force coefficients.

Over the past several decades, vehicle dynamics have been treated mainly on the basis of linear theories. An actual vehicle, however, also shows nonlinear properties such as roll behavior induced by movement of the roll axis. The purpose of this study was to investigate the vehicle roll dynamics in the nonlinear range. Suspensions were divided into two categories and computer-aided engineering (CAE) was used to conduct analyses of complicated kinematics. The results obtained provided theoretical support for designing the Multi-Link Beam Rear Suspension, a new type of suspension for front-wheel-drive cars.

The purpose of this study was to develop a simple optimization method for use in designing vibration insulators. With this method, stiffness, location and inclination of each insulator are used as design parameters. A performance index consisting of vehicle modal parameters expressed as eigenvalues and eigenvectors has been constructed to evaluate low-frequency idle/shake performance and higher frequency vibration performance involving road/engine inputs. Using this performance index and the sensitivity of the modal parameters, a designer can easily find a suitable direction for optimizing mount performance and thereby obtain a stable solution. The new method was employed to optimize an engine mount system. Experimental data obtained on the system validated the accuracy of the calculated results and showed an improvement in idle/shake performance. This method is a useful tool in designing optimum vibration insulators.

The ways in which vehicles are used in the field are continually becoming more diverse. In order to provide the optimum solution with respect to performance and weight, it is necessary to be able to assure vehicle endurance reliability with a high degree of accuracy in relation to the manner of use in each market. This situation has increased the importance of accurately quantifying the ways in which vehicles are used in the field and of designing vehicles with sufficient endurance reliability to match the usage requirements. This report presents a “market model” by which the manner of usage in the field can be treated quantitatively using combinations of environmental factors that influence the road load, drive load and corrosion load, representing typical loads vehicles must withstand.

Sophisticated product designs enrich people's lives and social demands for creation of good designs are quite strong. In the automobile industry, good design quality is one of the principal factors for determining market competitiveness. In this situation where good design quality is required of every product, the authors have developed a CAD/CAM system which makes it possible to create good and accurate designs by translating designers' ideas directly and quickly into high quality CAD models, a capability that has long been desired. With this high performance system, freely formed curves and surfaces can be easily manipulated with a man-machine interface familiar to industrial designers accutomed to the conventional design process. The system also integrates photo-realistic rendering, stereography and NC milling machines for verifying differences between the realized shape and the image in the designer's mind.

ASICs (Application-specific ICs) offer one solution to the problems of quality, cost and installability associated with the increasingly larger-capacity Electronic Control Units (ECUs) in automobiles. A method was, therefore, created for designing automotive ASICs. Using the method, three ASICs were developed which, together, incorporate all of the functions of the electronic instrument cluster. The core ASIC contains the speedometer and system functions, and the other two ASICs contain the tachometer and gauge functions, respectively. This set of three ASICs allows an electronic instrument cluster design which is two times more reliable, and one-second the cost that conventional systems (with a micro-processor and discrete components).

An expert system has been developed for use in designing exhaust tube layout. Featuring artificial intelligence (AI) techniques, this system is included in our CAD system. It provides designers with information for detecting and correcting design mistakes, based on a body of rules consisting of design standards and accumulated know-how. As a result, it shortens design time and reduces errors. This system is also useful for standardizing design procedures and transmitting techniques accurately. This paper describes the new system and application to exhaust tube layout design. It discusses various problems that must be solved in applying AI techniques to the automobile design process as well as areas and methods of application.

ONE ISSUE IN NEW VEHICLE DEVELOPMENT that has become increasingly more important is the need to put attractive vehicles on the market at the right time. In recent years vehicle design has become a very crucial factor in this effort. Automakers are required to create vehicles having a higher quality design in a shorter period of time and supply them to the market in a timely fashion. As part of the effort to meet these requirements the automakers have developed a variety of CAD/CAM systems, which counterparts in Industry in general. Although most CAD/CAM systems are currently being used primarily at the design and manufacturing stages, the full potential of CAD systems has yet to be realized at the design stage. At Nissan, we have developed a CAD styling system called the Digitized Image Modeling System (DIMS), which serves as a support tool for the creation of new vehicle designs.