Highly Flexible and Scalable Development and Test Solutions

Innovations in highly automated and autonomous systems and current CO2 regulations are the key drivers for the technological development of tomorrow's commercial and off-highway vehicles. The first driverless and electrified shuttle buses have already been introduced, and highly automated, self-driving trucks are becoming a reality. Specialized vehicles and machines in construction and agriculture are already automated and connected; fully automated agricultural machinery, for example, increases efficiency in sowing. In addition, efficient new drive technologies such as electric drives as well as hybrid drives and highly efficient combustion engines are on the rise in both, commercial and off-highway vehicles.

E-Mobility

dSPACE is a highly flexible and reliable partner with decades of experience in electrification topics. Customers all over the world appreciate our scalable solutions for developing and testing electric motors, battery systems, fuel cells, and charging infrastructures. This enables you to make e-mobility a real alternative even faster. Of course, you can rely on our full support in the development and testing of these systems.

Challenges of Automated and Autonomous Driving

Challenges of Automated and Autonomous Driving

The development of automated and autonomous commercial and off-highway vehicles poses the following challenges:

  • Software-defined vehicles with centralized E/E architecture and multifunctional high-performance ECUs lead to increased complexity in development and testing
  • Safety-related and security-related features become an integral part of the validation task 
  • Safety-critical systems must be developed and tested with regard to fail-operational behavior
  • Sophisticated sensor, vehicle and environment models require state-of-the-art computation capabilities

Challenges of E-Mobility

Challenges of E-Mobility

The construction of efficient electric powertrains for commercial and off-highway vehicles presents the following challenges:

  • Comprehensive real-time performance including FPGA-based hardware acceleration is essential especially for development and testing of power electronics and electric drive controls.
  • A wide range of application-specific interfaces and protocols for electric motors, fuel cells, batteries, power electronics and charging systems needs to be supported
  • Interfaces for development and testing are needed at signal level and power level
  • Open libraries with open and ready-to-use models that can be executed on processors or FPGA allow for speed-up of the development process

dSPACE Solutions for Commercial & Off-Highway Vehicles

dSPACE offers end-to-end solutions for the data-driven development of highly intelligent, autonomous systems - from data logging to comprehensive component and integration testing. With our comprehensive product portfolio for electrification, we support you with innovations in energy storage, charging systems, and electric drives. With us, you can take your e-innovations to the road faster.

Rapid Prototyping
从自动驾驶到零排放的功能开发

从自动驾驶到零排放的功能开发

我们的dSPACE原型开发系统可扩展并且很全面,可以在机电控制设计和数据驱动开发中实现您的开发目标。

更多关于快速原型开发的信息
HIL Testing
验证ECU的中央测试方法

验证ECU的中央测试方法

dSPACE HIL测试系统提供了一个仿真环境,能够全天候在实验室对真实ECU进行高效且可重复的验证。这增加了测试覆盖率并显著缩短了验证时间。我们的HIL解决方案覆盖了从自动驾驶到零排放的所有车辆领域,从组件测试到虚拟车辆测试都包含在内。

HIL测试的更多信息
Power HIL Testing
缩小HIL和测功机测试之间的差距

缩小HIL和测功机测试之间的差距

通过我们的功率HIL系统,我们提供即用型解决方案,用于在全功率下测试任何类型的逆变器,包括控制器和电力电子设备。通过使用真实的电压和电流,我们的系统能够帮助您完成严格的测试。我们的系统就像真实系统的数字孪生,只需点击几下即可轻松配置,这大大缩短了安装时间。

关于功率HIL测试的更多信息
SIL Testing
使用强大的dSPACE解决方案进行软件在环(SIL)测试,用于基于PC和云的仿真

使用强大的dSPACE解决方案进行软件在环(SIL)测试,用于基于PC和云的仿真

利用dSPACE软件在环(SIL)测试解决方案,您可以通过虚拟测试和验证显著加快软件开发过程。dSPACE为您提供了一个完整的模块化、可扩展的开发和测试解决方案。您可以在PC上轻松仿真被测设备,将其连接到基于物理的模型,在云中运行可延展的测试,然后在硬件在环(HIL)系统上轻松复用测试脚本。

关于SIL测试的更多信息
Test Data Management
用于自动ECU测试的数据管理和协作软件

用于自动ECU测试的数据管理和协作软件

SYNECT是我们针对ECU软件的高效自动验证和确认的解决方案,它帮助工程师在整个开发过程中处理所有测试参数、它们的依赖关系、版本和变体以及底层需求。

这能够保证数据版本的一致性和认证过程中的完整可追溯性,并可以在其它项目中高效地复用数据。

关于数据管理的更多信息
Bus & Network Communication
仿真、记录、回放和分析

仿真、记录、回放和分析

dSPACE为仿真、分析和验证提供了一个全面完整的工具链,支持广泛的总线系统和应用。即用型产品和定制的特定解决方案在开发过程中为您提供可靠支持。

关于总线和网络通信的更多信息
Data Logging
Make ADAS/AD data available faster and at lower cost

Make ADAS/AD data available faster and at lower cost

Data from real traffic situations is the key resource  in making autonomous mobility a safe reality. Our mission is to enable your data logging systems to quickly respond to new iterations of training and validation, which in turn will allow for the shortest data cycles. To do this, we provide you with a comprehensive solution for flexible in-vehicle data recording, advanced data insight, and integrated data ingestion.

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Sensor Data Management
No volume of data is too large if you have an efficient data management tool

No volume of data is too large if you have an efficient data management tool

Powerful data management helps you centralize, store, search, filter, preview, postprocess, and analyze your recorded data for data-driven development of functions for ADAS/automated driving and other mobility applications. With the dSPACE solution for sensor data management, you will quickly find what you are looking for in petabytes of traffic data.

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Data Annotation
Annotation and anonymization with best-in-class quality and automation

Annotation and anonymization with best-in-class quality and automation

The development of ADAS and autonomous vehicle systems requires a huge number of objects and attributes from data recordings to be labeled for subsequent use in the development process. Only a very high level of automation makes these annotation projects feasible within an affordable budget and timeframe. Moreover, the anonymization of faces and license plates within recorded data has become a global requirement. dSPACE, with its group company understand.ai, offers the right solutions to let you meet these tough requirements.

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Production Software Development
优化产品级软件开发

优化产品级软件开发

产品级软件开发中的核心挑战包括RAM资源的优化、运行时以及与整个系统的集成。此外,我们必须拆分软件,以确保进行定期软件更新。在最终软件发布之前,我们需要进行特殊验证,通常还需要一个发布过程。

关于产品级软件开发的更多信息
Data Replay
Validating ADAS/AD Components Using Recorded Data

Validating ADAS/AD Components Using Recorded Data

To ensure the safety of ADAS/AD systems, using recorded real-world data in the homologation and release strategies is essential. After all, contrary to synthetic simulation data, the level of real-world data fidelity is unquestionable.

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Simulation Modeling
数学实时模型

数学实时模型

使用仿真建模创建物理系统的数字孪生,以预测其在真实世界中的所有行为。

有关仿真建模的详细信息关于仿真建模的更多信息

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整个流程的开发支持

整个流程的开发支持

汽车行业正在开发具有越来越多安全关键功能的复杂E/E系统,尤其是在自动驾驶领域。因此,功能可靠性方面的问题也随之而来。因此dSPACE致力于在功能安全、测试策略开发以及复杂E/E的验证和确认领域提供端到端解决方案,从最早的项目阶段到最后的认证进行全面的支持。

dSPACE系统易于安装和运行。如果项目复杂性很高,需要单独的解决方案或者时间紧迫,dSPACE也能够为您提供快速、强大和可靠的工程服务。

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