The number of electronic control units (ECU) installed in vehicles is increasingly high. Manufacturers must improve the software quality and reduce cost by proposing innovative techniques.

    This chapter proposes a technique being able to generate not only test-cases in real time but to decide the best means to run them (hardware-in-the-loop simulations or prototype vehicles) to reduce the cost and software testing time. It is focused on the engine ECU software which is one of the most complex software installed in vehicles. This software is coded by using Simulink® models. Two genetic algorithms (GAs) were coded. The first one is in charge of choosing which parts of the Simulink® models should be validated by using hardware-in-the-loop (HIL) simulations and which ones by using prototype vehicles. The second one tunes the inputs of the software module (SM) under validation to cover these parts of the Simulink® models. The usage of dynamic-linked libraries (dlls) is described to deal with the issues linked to SM interactions when running HIL simulations. In addition to this, this chapter focuses on the validation of engine electronic control unit software by using expert systems (EXs) and dynamic link libraries (dlls) with the aim of checking if this technique performs better than traditional ones. Finally, the chapter aims to check if two rule-based EXs combined with dynamic-link libraries (dlls) perform better than other techniques widely employed in the automotive sector when validating the engine control unit (ECU) software by using a hardware-in-the-loop simulation (HIL).


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    Title :

    Software Validation Techniques in the Automotive Sector




    Publication date :

    2024-01-11


    Size :

    88 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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