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With focused R&D & acquisitions, Siemens PLM has grown from
#8 to #2 in the CAE market
通过持续研发和收购，西门子在CAE市场
排名从 第八位 跃升到 第二位
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Simcenter™ Portfolio for Predictive Engineering Analytics Multiphysics simulation: Aero-acoustics
多领域仿真：气动噪声
Ref. “Prediction of Exterior Wind Noise Generated by a Side Mirror of an SUV”, Published at Internoise 2016
Cooperation Volvo Cars Chalmers University Siemens PLM Software
A challenging subject in automotive engineering 汽车工程中具有挑战的课题
CFD for Load Prediction CFD进行载荷预测
3D NVH Car Body Model 3D NVH车身模型
Review Design Alternatives 评估多个设计方案
WIND NOISE 风噪
Software development软件开发 Gateway design网关设计
Siemens PLM vision
Solutions along the complete Autonomous Vehicle product lifecycle 西门子PLM愿景：提供覆盖自动驾驶汽车产品生命周期的完整解决方案
Cloud services 云服务
IoT – V2X 物联网-V2X
System architectures系统架构 System design系统设计
Simulation仿真
Software architectures Controls development
软件架构 控制开发
Code generation Version control
代码生成 版本控制
Big data analysis 大数据分析
Vehicle & driver behavior data 车辆&驾驶行为数据
Wiring architectures 线束架构 ECU architectures ECU架构
Validation and Verification 验证和确认
Multi domain traceability 多领域追溯
Functional safety 功能安全
Architecture management 架构管理 Requirement management 需求管理 V&V data management V&V数据管理
Application Lifecycle management 应用程序生命周期管理
Software软件
Systems系统 Electronics电子
Test scenario generation 测试场景生成 Automated testing 自动化测试 Simulation factory 仿真工厂 MiL – SiL – HiL VehiL - DiL
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LMS Imagine.Lab Amesim plant models in Model in the Loop EuroNCAP Autonomous Emergency Braking test simulation
LMS Imagine.Lab Amesim 被控对象模型在环 EuroNCAP自动紧急刹车测试仿真
AMESim plots show rear wheel slip
AMESIM图表显示 后轮侧滑
AMESim chassis model in TASS TASS 中AMESim 底盘模型
STS Engineering Services autonomous vehicle control algorithm Model Predictive Control technology in driver strategy intelligence
STS工程服务致力于自动驾驶控制算法开发 驾驶策略智能化的模型预测控制技术
MPC Trajectory planner（模 型预测控制轨迹规划）
optimizing the trajectory and the travelling velocity upon driver’s preference (balance between smooth driving and time to destination) thanks to prediction of vehicle dynamics over the next hundreds meters (from GPS + Map) 从GPS+地图获得下一段数百
Space constraint 空间约束 Obstacle car 障碍车
Ego car当前车辆
Driving corridor车道 Reference trajectory参考轨迹
Actual trajectory实际轨迹
Prediction Horizon 预测区间
Trajectory Planner轨迹规划
Trajectory Tracker轨迹跟踪
Speed 速度[m/s]
Distance 距离 [m]
Vehicle moving in a dense traffic 车辆在交通密集情况下行驶
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Fleet Mgmt.
车队管理
On-Call 呼叫中心
IoT物联网
M2M机器通信
Big Data 大数据
UBi
Car sharing V2x Modal Transport 共享汽车
交通模式 Infotainment
Services 信息服务
Processes 流程
Software engineering demands collaboration 软件工程需要协作
Autonomous / Driverless / Hybrid Automobiles
自动驾驶/无人驾驶/混动汽车
Polarion ALM - A better way managing complexity Polarion ALM – 更佳的方式去管理复杂度
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POLARION ALM orchestration with existing ecosystem POLARION ALM基础上构建现有生态
Leverage Existing Environment 利用现有环境
Connectors for Partners & Extensions for 3rdparties
Flexible, Adoptable & Affordable 灵活，适应&性价比
Support Any Methodology 支持各种开发方法
Agile/Lean, Traditional, Hybrid, FDA, FAA, CMMI, ISO, IEC, CPI, SPICE, DevOps
Quick Turn Around 快速实现工具连接
Tools can integrate or Polarion provides connector
Complete Traceability 完整追溯过程
MATLAB
Perforce Git
Eclipse
Klocwork Vector
LDRA
SPARQL
ISO, SPICE
w3C Test & QA
Issues & Defects Mgmt.
Change
& Configuration
Audit Metrics Reports Resource
Mgmt.
Build & Release Mgmt.
SW Variant Mgmt.
SW Requirement Mgmt.
ALM
Unit &
Integration testing [Test & Code
coverage]
单元集成测试
Closed Loop Software Engineering – [ALM]
闭环软件工程
Software engineering Continuous Delivery
软件工程 持续交付
Complete engineering accountability 完整工程责任
Models – Requirements – Code – Test – software-builds
ALM Orchestrated Software Engineering 基于ALM实施软件工程
Third party vendors and partners integrated
Systems Engineering approach 系统工程方法
Single Source Management 单一源代码管理
Source code implementation
源代码实现
Code performance
Analysis 代码性能分析
Build &
Release 构建&发布 Software
Control-models 软件 控制模型
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Polarion ALM
Fortune 1000 Deployments AND METRICS