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Commercial Viability Assessment and Planning of Safety-Critical Embedded SW of Electrified Road Vehicles

机译:电动道路车辆安全关键安全嵌入式SW的商业生存能力评估和计划

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摘要

Recent extraordinary technological progress in the field of high-voltage-batteries has led an evolution in the automotive industry, resulting in vehicle manufacturers to shift from conventional powertrains towards electric ones. However, electrified road vehicles are amazingly complex. Today, the number of operations for a modern electric vehicle grew from millions to billions per second. This is mainly fueled by the electrification and safety requirements in addition to critical core functionalities. This emphasizes the importance of software development cost, effort, and production planning in the automotive industry. In this paper, in the framework of EU funded H2020 OBELICS project, a detailed-COCOMO approach is proposed for a manually coded safety-critical embedded SW for an electric vehicle not only to plan the project well in advance but also to assess its commercial viability using quantifiable cost metrics to make the process more objective and repeatable. In this context, a case study is given for a battery-management software using an algorithmic model. The case-study has demonstrated not only the planning requirements but also the impact of project type on effort and time estimation in each phase of the software lifecycle. The results have shown that inaccurate software project type estimation can lead an error of up to 16% in effort and 19% in development time according to the phase. It also shows that reliability, database size and complexity are the major contributors of the total time, effort and hence of the cost. The results have also demonstrated the impact of model-based design and automated code generation tools on planning for different phases of the V-cycle briefly.
机译:高压 - 电池领域的最新技术进步导致了汽车行业的发展,导致车辆制造商从传统的动力总成转向电动机。但是,电气化的道路车辆非常复杂。如今,现代电动汽车的运营数量从数百万美元增加到每秒数十亿美元。除关键核心功能外,这主要由电气化和安全要求推动。这强调了汽车行业软件开发成本,精力和生产计划的重要性。在本文中,在欧盟资助的H2020 Obelics项目的框架中,为手动编码的安全性安全嵌入式SW提供了一种详细的cocomo方法使用可量化的成本指标使过程更加客观和可重复。在这种情况下,使用算法模型为电池管理软件提供了案例研究。案例研究不仅证明了计划类型对软件生命周期每个阶段的努力和时间估计的影响。结果表明,根据该阶段,不准确的软件项目类型估计可以导致高达16%的错误和开发时间的误差19%。它还表明,可靠性,数据库规模和复杂性是总时间,努力以及成本的主要因素。结果还证明了基于模型的设计和自动代码生成工具对简要规划V-Cycle的不同阶段的影响。

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