Simulation and test are important for the development and validation of automotive ECU (Electronic Control Unit). However, problems arise in the combination of today’s automotive control algorithm development and function test. There are lots of professional tools for simulation and test, but lack of interfacing capability between them, especially in the simulation and test of today’s automotiv...

Context: Evidence-based software engineering (EBSE) provides a process for solving practical problems based on a rigorous research approach. The primary focus so far was on mapping and aggregating evidence through systematic reviews. Objectives: We extend existing work on evidence-based software engineering by using the EBSE process in an industrial case to help an organization to improve its a...

With the increase of complexity in automotive control systems, the amount of data that needs to be managed is also increasing. Using a real-time database management system (RTDBMS) as a tightly integrated part of the software development process can give significant benefits with respect to data management. However, the variability of data management requirements in different systems, and the h...

Variability on source code level in automotive software engineering is handled by C/C++ preprocessing directives. It provides fine-grained definition of variation points, but brings highly complex structures into the source code. The software gets more difficult to understand, to maintain and to integrate changes. Current approaches for modeling and managing variability on source code do not co...

Functions such as adaptive cruise control, crash protection systems, active body control and ESP are increasing in complexity and taking an ever more active role in controlling the car. These functions are realized by systems of sensors, actuators and interconnected electronic control units. The systems must be designed to function under a variety of operating conditions and must adhere to a nu...

The competitive situation in automotive industry and increasing market demands necessarily lead to higher complexity in product development, production planning and production ramp-up processes. One key challenge for mobilising important time and cost resources in production engineering projects is a virtual validation of the ramp-up. Especially in cross-functional cases where many planning dep...

The National Automotive Center (NAC) Ground Vehicle Simulation Laboratory (GVSL) is developing and applying engineering simulators and simulations for the evaluation of ground vehicles during all stages of a weapon system’s life cycle research, development, and procurement of new systems; technology insertion and modifications to fielded systems; and trouble-shooting activities arising from tes...

Linking enterprise-wide business decision making with engineering decision making is demonstrated by integrating the enterprise utility optimization and the engineering product development approach under a multilevel optimization framework. The analytical target cascading process is used to set the right targets for the engineering design process that maximize utility at the enterprise level. A...

The paper discusses the role of process and robotics simulation in the automotive industry. Real-world applications of simulation in the body shop, paint shop and general assembly areas of a vehicle assembly plant are given in addition to Business Process Reengineering (BPR) and supply chain logistics applications. Uses of simulation during the different phases of an engineering project are add...

Automotive and machinery reliability engineers rely heavily on order analysis for examining rotating machinery. While many different techniques for order analysis have been developed, this article introduces the Gabor expansion-based order tracking approach. Compared to other known order analysis methods, this technique is not only more intuitive and more powerful, but can also be used for appl...