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AUTOMATIC DEPENDABILITY VERSUS COST OPTIMISATION OF DISTRIBUTED VEHICLE CONTROL SYSTEMS

机译:分布式车辆控制系统的自动可靠性与成本优化

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A shift towards architecturally distributed, networked and functionally integrated system architectures is becoming apparent in many engineering system designs in the automotive industry. New and emerging designs for car control systems are characterised by sharing of information and hardware resources which means that large numbers of reconfiguration options are available at design but also at runtime due to the use of shared processors and communication channels. When the functions of a system can be delivered with a number of different architectural configurations designers are faced with hard optimisation problems. The dependability of individual configurations of the design can be determined using safety assessment and verification technologies such as fault tree analysis and model checking. However, satisfying dependability requirements with an optimal use of resources and minimal costs requires additional technological support in the form of a global optimisation process. Where it is possible to fulfil all the dependability requirements, within economical and technical bounds, the architecture that has minimal costs is the optimisation goal. If all dependability requirements can not be met with acceptable costs then the problem changes to finding architectures that achieve optimal trade-off between dependability and cost.
机译:在汽车行业的许多工程系统设计中,在建筑分布的跨越式分布式,网络和功能集成的系统架构变为显而易见。汽车控制系统的新和新兴设计是通过共享信息和硬件资源,这意味着由于使用共享处理器和通信信道,因此在设计中可用,而且在运行时提供大量的重新配置选项。当系统的功能可以随多种不同的架构配置提供时,设计人员面临着硬度优化问题。可以使用安全性评估和验证技术(如故障树分析和模型检查)确定各个配置的可靠性。然而,满足可靠性要求,利用资源和最小成本需要以全局优化过程的形式需要额外的技术支持。在经济和技术界限内,可以实现所有可靠性要求,具有最小成本的架构是优化目标。如果无法满足所有可靠性要求,那么问题更改了找到在可靠性和成本之间实现最佳权衡的架构。

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