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Embedded Software Tools Enable Hybrid Vehicle Architecture Design and Optimization

机译:嵌入式软件工具启用混合动力车架构设计和优化

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This presentation focuses on several examples of partnerships between tool suppliers and embedded software developers in which state-of-the-art tools are used to optimize a variety of electric and hybrid vehicle architectures. Projects with Automotive OEMs, Tier One Suppliers as well as with academic institutions will be described. Due to the growing complexity in multiple electronic control units ("ECUs") inter-communicating over numerous network bus systems, combined with the challenge of controlling and maintaining charges for electric motors, vehicle development would be impossible without use of increasingly sophisticated tools. Hybrid drive trains are much more complex than conventional ones, they have at least one degree of freedom more. To achieve the development goals (e.g., optimum drive performance and minimum CO_2 emissions), an optimal configuration of combustion engine, battery and electric machine(s) can only be defined with the help of computer simulation methods and tools. Even if the major specs (speed/torque characteristics, performance, high voltage system) of all components are defined and fixed, the operating strategy software (overall hybrid drive train coordination) still significantly influences these goals. The hybrid ECU with the vehicle's operating strategy is often developed, implemented and tested by means of desktop simulation, rapid control prototyping, automatic code generation as well as hardware-in-the-loop (HIL) simulation. The e-mobility technology is developing very rapidly. So cooperative partnerships between OEMs, component and controller suppliers and test equipment and tools companies can be observed worldwide. For example: Lithium-ion battery suppliers are working in cooperation with controller developers and tools companies on battery simulation and controller testing. Additionally, several trends can be observed in the HEV development area: - HIL simulation replaces track tests to handle the complexity and reduce costs and - Optimization tools are applied on mechanical test benches to automatically find a good compromise between driveability, performance and emissions. This paper presents application examples where these partnerships and new trends lead to successful products in the automotive industry. One special summary example of the use of embedded software development tools is the EcoCar Challenge, an industry-supported project organized by the Department of Energy in conjunction with General Motors, and other sponsors, to develop expertise in the automotive development process, especially relative to producing "Greener" vehicles. In this project, competing Universities are supplied with a base vehicle and software development tools, such as rapid prototyping systems and HIL test systems. Numerous powertrain architectures are developed and optimized during the course of the competition.
机译:此演示文稿侧重于工具供应商和嵌入式软件开发人员之间的若干伙伴关系示例,其中最先进的工具用于优化各种电动和混合动力汽车架构。将描述具有汽车OEM,一级供应商以及学术机构的项目。由于多种电子控制单元(“ECUS”)在众多网络总线系统上跨越多种复杂性,结合控制和维持电动机的电荷的挑战,在不使用日益复杂的工具的情况下,车辆开发将是不可能的。混合动力驱动火车比传统方式更复杂,它们至少有一种自由度更多。为了实现开发目标(例如,最佳驱动性能和最小CO_2排放),只能在计算机仿真方法和工具的帮助下定义内燃机,电池和电机的最佳配置。即使定义和固定所有组件的主要规格(速度/扭矩特性,性能,高压系统),操作策略软件(整体混合动力传动系统协调)也仍然显着影响这些目标。通过桌面仿真,快速控制原型,自动代码生成以及循环硬件(HIL)仿真,通常开发,实现和测试了具有车辆的操作策略的混合ECU。电子流动性技术正在非常迅速发展。在全世界可以观察到OEM,组件和控制器供应商和测试设备和工具公司之间的合作伙伴关系。例如:锂离子电池供应商正在与控制器开发人员和工具公司合作,电池仿真和控制器测试。此外,在HEV开发区域中可以观察到几种趋势: - HIL仿真替换了跟踪测试以处理复杂性,降低成本,而且 - 优化工具应用于机械测试长椅,以自动在驾驶性,性能和排放之间获得良好的妥协。本文介绍了这些伙伴关系和新趋势的应用示例,导致汽车行业的成功产品。使用嵌入式软件开发工具的一个特殊摘要例子是Ecocar挑战,由能源部门组织的行业支持的项目与通用电机和其他赞助商一起组织,以开发汽车发展过程中的专业知识,特别是相对生产“绿色”车辆。在该项目中,竞争大学提供了基础车辆和软件开发工具,如快速原型制作系统和HIL测试系统。在竞争过程中开发和优化了许多动力总成架构。

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