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XiL智能汽车技术开发系列平台建设与研究

Construction and research of XiL series platform for intelligent vehicle technology development
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摘要 将在环验证技术与车辆工程、交通工程等专业教学资源相融合,进行了XiL(x-in-the-loop)智能汽车技术开发系列平台建设。XiL系列平台包括模型在环平台(MiL,model-in-the-loop)、软件在环平台(SiL,software-in-the-loop)、硬件在环平台(HiL,hardware-in-the-loop)及实车在环平台(ViL,vehicle-in-the-loop)。平台决策层基于快速控制原型设备运行算法模型,执行层集成实车线控底盘、传感器及通信系统,感知层基于PreScan软件提供环境感知类传感器模块及虚拟场景,具备智能汽车整车、系统、零部件及样机开发与测试,智能驾驶控制策略设计与验证,车路协同系统仿真与实验等能力。各子平台能够独立进行功能开发与测试,其测试结果之间也可相互验证,形成完整的技术开发闭环验证平台。 A XiL(X-in-the-loop)intelligent vehicle technology development platform is constructed by integrating in-the-loop validation technology and education resources for vehicle engineering and transportation engineering majors.XiL platform consists of model-in-the-loop system(MiL),software-in-the-loop system(SiL),hardwarein-the-loop system(HiL)and vehicle-in-the-loop system(ViL).The decision layer of the platform runs algorithm model based on rapid control prototype,the executive layer integrates the real vehicle chassis-by-wire system,sensors and communication systems,the perception layer provides environment perception sensor modules and virtual scenes based on PreScan.It could be used to develop and test the whole vehicle,system,component,and prototype of intelligent vehicles,to design and verify intelligent driving control strategies,to simulate and experiment the vehicle infrastructure cooperative system.Each sub-platform could independently realize function development and validation,and the test results can also be verified by each other,forming a complete closed-loop verification platform for technology development.
作者 雍加望 冯琦 李岩松 冯能莲 张卫强 YONG Jiawang;FENG Qi;LI Yansong;FENG Nenglian;ZHANG Weiqiang(Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China;Key Laboratory of System Control and Information Processing,Ministry of Education of China,Shanghai Jiao Tong University,Shanghai 200240,China;Faculty of Environment and Life,Beijing University of Technology,Beijing 100124,China)
出处 《实验技术与管理》 CAS 北大核心 2022年第10期151-156,共6页 Experimental Technology and Management
基金 北京工业大学教育教学研究课题(ER2022SJB08) 国家自然科学基金青年项目(52002009) 北京市自然科学基金面上项目(3222003)。
关键词 智能汽车 在环平台 测试 实践 intelligent vehicle X-in-the-loop platform testing practice
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