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随着经济社会的发展,汽车在人们的日常生活中起到了非常重要的作用,汽车中以分布式嵌入式实时系统为主要形态的汽车电子控制系统在整车价值中所占的比例越来越高,汽车电子信息技术已经成为衡量一个国家汽车工业水平的重要标志。软件是汽车电子控制系统的核心,因汽车电子软件的复杂性日益攀升,且汽车本身在成本上非常敏感,所以实时、成本控制等问题变得日益严峻。任务的周期和总线的访问配置是系统实时性、ECU内CPU利用率等的关键影响因素。基于神经网络平台开发的目的就是为了简化基于OSEK操作系统应用的开发,提高软件代码的质量,其具备配置和功能信息的统一、配置信息的早期检测、自动化构建等的优势。
With the development of economy and society, the car plays a very important role in people’s daily life. The proportion of the car electronic control system whose main form is the distributed embedded real-time system in the automobile accounts for more and more vehicles High, automotive electronics and information technology has become an important indicator of the level of a country’s automobile industry. Software is at the heart of automotive electronic control systems. As the complexity of automotive electronic software is on the rise and the cost of the car itself is very sensitive, issues such as real-time and cost control become more and more serious. Mission cycle and bus access configuration is the system real-time, ECU CPU utilization and other key factors. The purpose of the development based on neural network platform is to simplify the development of application based on OSEK operating system and improve the quality of software code. It has the advantages of unified configuration and function information, early detection of configuration information, automatic construction and so on.