Industry Trends

Automobile Simulation Trend

Automobile Simulation Trend

The statistical results show that the wide application of automobile simulation technology greatly reduces the design modification rate at the later stage of automobile R&D and design, greatly reduces the proportion of automobile R&D and design costs to the total automobile development cost, greatly improves the development speed of new automobile models, and greatly improves the return on investment (ROI) of automobile enterprises.

  • From deploying high-performance computing resource pools based on peak hours to leasing industrial simulation services on demand
  • Traditionally, automobile simulation services are constructed based on service peaks. Repeated construction of R&D departments leads to high investment and resource redundancy. Automotive enterprises prefer to rent high-performance computing resources on demand to meet design simulation service requirements, avoiding repeated construction and resource waste.

  • From local processing to local and cloud collaborative operation
  • The R&D departments of automobile enterprises have obvious peaks and troughs of HPC resource requirements. During peak hours, the resource requirements are two to three times higher than those required in normal hours. In this case, the local resource pool cannot meet service requirements. Some service loads need to be flexibly migrated to the cloud for simulation.

  • From Silos to Data Sharing
  • Due to the design of traditional siloed service systems, many data silos exist, which hinders data sharing and unified service management. Hybrid cloud infrastructure is deployed between the headquarters and branches of automobile enterprises to implement unified planning, hierarchical operation, collaborative design, flexible management, data sharing, and unified service processes and standards, implementing systematic and consistent management of applications, data, and services.

Business Challenges

  • Heavy investment and slow construction

    Each service department of an automobile enterprise builds resource pools based on service peak requirements to form heavy assets. It takes several months to complete project bidding, system installation and deployment, and smooth rollout. The construction period is long, which cannot meet service development requirements. HUAWEI CLOUD provides capabilities such as out-of-the-box and on-demand resource leasing to reduce heavy asset investment and avoid repeated construction. In addition, services such as automatic cluster creation are provided, and quick delivery can be completed within several weeks.

    Each service department of an automobile enterprise builds resource pools based on service peak requirements to form heavy assets. It takes several months to complete project bidding, system installation and deployment, and smooth rollout. The construction period is long, which cannot meet service development requirements. HUAWEI CLOUD provides capabilities such as out-of-the-box and on-demand resource leasing to reduce heavy asset investment and avoid repeated construction. In addition, services such as automatic cluster creation are provided, and quick delivery can be completed within several weeks.

  • Huge O&M costs, unable to focus on core service innovation

    The cost of self-built equipment rooms is high, including the equipment room, power supply, cooling, fire fighting, and system management costs. The equipment rooms are constructed based on service peaks, resulting in a waste of investment. HUAWEI CLOUD computing resources can be used on demand. Users do not need to pay attention to the underlying operation investment, such as wind, fire, water, and electricity. They can automatically apply for and release computing resources based on service loads, flexibly meeting service requirements for computing resources.

    The cost of self-built equipment rooms is high, including the equipment room, power supply, cooling, fire fighting, and system management costs. The equipment rooms are constructed based on service peaks, resulting in a waste of investment. HUAWEI CLOUD computing resources can be used on demand. Users do not need to pay attention to the underlying operation investment, such as wind, fire, water, and electricity. They can automatically apply for and release computing resources based on service loads, flexibly meeting service requirements for computing resources.

  • Technologies are updated and iterated quickly, and high-performance computing cannot be used in real time.

    The computing volume increases rapidly, and the planning cannot catch up with the change. Devices are aged and hardware is updated quickly. The original hardware devices cannot meet the requirements of new computing volume. HUAWEI CLOUD provides users with secure, stable, and high-performance basic cloud services and high-performance computing power.

    The computing volume increases rapidly, and the planning cannot catch up with the change. Devices are aged and hardware is updated quickly. The original hardware devices cannot meet the requirements of new computing volume. HUAWEI CLOUD provides users with secure, stable, and high-performance basic cloud services and high-performance computing power.

  • High pressure and difficulty in self-maintenance

    With the development of services, the number of nodes to be constructed gradually increases, and the maintenance workload is huge. HUAWEI CLOUD provides different HPC application templates to quickly deploy MPI libraries, compilation libraries, and optimized configurations. In addition, flexible and elastic resources and convenient operation tools greatly reduce enterprises' self-O&M pressure.

    With the development of services, the number of nodes to be constructed gradually increases, and the maintenance workload is huge. HUAWEI CLOUD provides different HPC application templates to quickly deploy MPI libraries, compilation libraries, and optimized configurations. In addition, flexible and elastic resources and convenient operation tools greatly reduce enterprises' self-O&M pressure.

Scenarios

Collision simulation

Collision simulation

Front and side crash simulation assists the analysis and improvement of anti-collision buffer components. Low-latency computing quickly produces simulation and analytical results.

Network latency down to 2 μs further improves node computing efficiency.

The Lustre parallel file system supports a bandwidth of 2 TB/s and an IOPS higher than 20,000, improving data computing and access efficiency.
Structure

Structure

This solution provides the large memory, multi-core and high-frequency computing, and high storage IOPS required by structure simulation. The CAE-based simulation analyzes the vehicle structure, model, and stiffness, offering insights to improve vehicle fatigue life and dynamics.

High-performance computing provides bare metal servers/VMs with local SSDs and high-specification bare metal servers, facilitating simulation acceleration.

High-performance storage: The IOPS can reach 300,000, improving computing performance by more than 10% for temporary data access during structure simulation.
Fluid

Fluid

Vehicle fluid simulation is to solve the problems of lift, resistance and turbulence in high-speed driving by means of computational fluid analysis simulation, and serve the design of vehicle performance and modeling. The computer fluid analysis process requires ultra-large-scale parallel computing power. In addition, the analysis result data is massive, posing high requirements on the storage capability.

The out-of-the-box high-computing resource pool provides large-scale computing power for fluid analysis. It can automatically provision VMs, bare metal servers, and clusters, and can be elastically expanded to accelerate fluid simulation efficiency.

Massive file storage capability: The file storage service supports 10 PB-level large file directory storage. The bandwidth is 0.02 MB/s x File system storage space (GB) + 100 MB/s.

Low-cost archive storage capabilities enable low costs, 99.99% availability and 99.999999999% durability data upload, download, and archive storage services, reducing data acquisition and storage costs.

Architecture

Cloud Architecture Automobile simulation

Provides high-performance, high-reliability, simple, and secure emulation services to meet simulation requirements of automobile manufacturing, shorten the product TTM, and improve enterprise benefits.

Advantages

  • High performance

  • Rich instances

    Supports VM and BMS deployment.

  • Multidimensional security control

    Seven-tier multi-dimensional security protection measures

  • Open architecture

    Based on the open OpenStack architecture

Highlights

On-demand leasing of high-performance resources, avoiding excessive investment

High-performance VM/bare metal computing resources are available in pay-per-use mode, saving time for resource planning and manual scaling. TCO is down by 70% against self-built HPC clusters.

Flexible self-service capability, reducing O&M pressure

VMs and bare metal servers can be automatically provisioned and clusters can be automatically created on the cloud. In addition, multiple HPC application templates are provided to accelerate application deployment and reduce HPC cluster O&M difficulties and workload.

Continuous iterative resource update, providing excellent computing performance experience

Enjoy 2 μs network latency. Local 1.6 TB enterprise-level NVMe SSDs improve computing performance by more than 10%. Cloud resources are continuously iterated and updated, ensuring HPC users' performance experience.

End-to-end security protection, reducing data leakage risks

HUAWEI CLOUD provides a reliable high-performance computing platform and end-to-end security services and solutions. Secure connections, secure isolation during running, data encryption, fast data erasing, and data backup are used to ensure user data security.