Recommended Solutions

Simulation Analysis
High-performance, reliable, quick, simple, and secure solutions powered on HUAWEI CLOUD for automobile manufacturers
Digital Marketing
Based on full-stack cloud services, provide customer profiles for precision marketing, improving your services and sales conversion rate
Connected Car
Gather, store, and analyze vehicle data, raising service innovation capabilities and accelerating transformation efforts
Autonomous Vehicles (Planning)
Develop and deploy automated vehicles and build a scalable platform integrating massive storage and algorithm models

Industry Trends

The automotive industry is facing unprecedented changes. Deep-integration in networking is enabling new modes of travel and commuting with rental vehicles usually located within several miles of the consumer. Breakthroughs in marketing management, automobile R&D, and the applications needed to place the convenience into the consumers hands have spurred innovation, transformation, and upgrade in vehicle services.

R&D design

Provides a series of features, such as collaborative R&D, simulation analysis, and crowdsourcing, greatly reducing the R&D costs and time-to-market (TTM) of new vehicles.

Marketing management

Supports e-commerce marketing and accurately analyzes and profiles target customers to help you sell vehicles.

Service transformation

Provides travel services using Connected Car to improve customer experience and loyalty, helping automobile companies transform from selling vehicles to providing travel services.

Service innovation

Explores smart driving and digital cockpit technologies to improve travel experience.

Business Challenges

Business Challenges

  • Heavy Assets, High OPEX, Slow Construction

    Constructing a data center is costly, involving equipment rooms, power supply, cooling, fire fighting, and system management outlays. Centers must be able to handle the highest peaks in traffic, which means a vast majority of the investment underutilized during normal hours. Construction is slow and cannot meet service development requirements.
    Constructing a data center is costly, involving equipment rooms, power supply, cooling, fire fighting, and system management outlays. Centers must be able to handle the highest peaks in traffic, which means a vast majority of the investment underutilized during normal hours. Construction is slow and cannot meet service development requirements.
  • Ineffective Content-Data Integration

    Automobile companies build separate content and management systems, forming data silos. Moreover, data models are not interoperable. Therefore, capturing customer profiles or implementing precision marketing is difficult. Automobile companies also need to purchase vertical medium resources at a huge cost, without any data quality assurance.
    Automobile companies build separate content and management systems, forming data silos. Moreover, data models are not interoperable. Therefore, capturing customer profiles or implementing precision marketing is difficult. Automobile companies also need to purchase vertical medium resources at a huge cost, without any data quality assurance.
  • Challenging Data Assets Management

    Traditional IoV construction emphasizes content accessed over the in-vehicle infotainment system. As more and more vehicles access the network, more data is amassed. The new generation of IoV platforms should focus on extracting IoV data value to provide drivers with a richer and more personalized service experience.
    Traditional IoV construction emphasizes content accessed over the in-vehicle infotainment system. As more and more vehicles access the network, more data is amassed. The new generation of IoV platforms should focus on extracting IoV data value to provide drivers with a richer and more personalized service experience.
  • Arduous App Development

    To develop and deploy an automated driving system, a company must gather, store, and manage masses of data. Tools integrating AI and using an advanced learning framework with high-performance computing capabilities help minimize costs of transferring data to the cloud, accelerate model training, and streamline development efforts.
    To develop and deploy an automated driving system, a company must gather, store, and manage masses of data. Tools integrating AI and using an advanced learning framework with high-performance computing capabilities help minimize costs of transferring data to the cloud, accelerate model training, and streamline development efforts.

Typical Scenarios

  • Simulation Analysis

  • Digital Marketing

  • Connected Car

  • Autonomous Vehicle

Simulation Analysis

Simulation analysis, improving R&D efficiency

In automobile R&D, CAE is used to simulate and analyze rigidity, strength, modes, collision, and NVH.


Benifits

Evident Finite Element Analysis (EFEA)
Used in analyzing vehicle collision safety, high-speed impact, and explosion


Invisible Finite Element Analysis (IFEA)
Used in analyzing vehicle structure strength, vibration mode, fatigue, heat, and NVH


Fluid analysis
Used in analyzing external airflow, air channels, and airflow resistance


Related Services

Digital Marketing

Digital marketing, driving car sales growth

Streamlines the service process, establishes data specifications, and integrates online and offline marketing, improving customer experience and promoting automobile sales.


Benifits

Omni-channel Integration & Unified Mgmt
Connects to omni-channel users and integrates all valuable marketing elements, such as consumers, suppliers, and 4S shops. Uses standard data fields, creating a unified content and user experience management system.


Precision Marketing, Personalized Service
Leverages HUAWEI CLOUD Enterprise Intelligence to analyze data and refine vehicle owner profiles, providing personalized services. Precision marketing improves the customer retention rate and conversion rate of potential customers.


Smart Marketing Activity Management
Allocates marketing resources to according activities based on vehicle owner profiles by using Huawei AI algorithm, improving the proportion of self-owned channels and utilization of vertical media resources.


Related Services

Connected Car

Internet of vehicles, mining data value

Provides richer, and personalized services for vehicle owners, improving customer experience and loyalty.


Benefits

Unified Multi-Service Platform
Offers customers and partners with a secure, efficient, and smart Connected Car platform that unifies the TSP, new energy vehicle monitoring platform, fleet management platform, and transportation risk monitoring platform.


Intelligent Connected Car Suite
Supports pre-integration scenarios, such as user profile, route analysis, driving behavior analysis, and predictive maintenance.


Vehicle, Connectivity, and Access Mgmt.
Supports multiple data transmission protocols, such as GB/T32960, MQTT, HTTP, and JT/T 808. Uses vehicle shadow to store and retrieve current state information about the vehicle, and supports data parsing and OTA management.


Related Services

Autonomous Vehicle

Autonomous vehicle development platform, accelerating the driverless car commercialization

Provides highly scalable storage, high-performance computing, and an advanced one-stop AI development platform. Enables users to collect, receive, store, and analyze automated driving vehicle data, supporting the field's comprehensive development.


Benifits

Data Collection and Logistics
Uses the data express service to import to the development platform significant volumes of automated driving test data.


Data Storage Platform
Provides standard archive storage platforms requiring low-frequency access for data collected during countless amount automated driving tests.


Data Lake, Computing Platform, Machine & Deep Learning
Performs end to end management of the data required for automated driving development. Imports masses of drive test data to the platform offline. Parses, filters, and marks the data, then simulates the realistic scenarios to model driving decision making and route planning, and then trains the model repeatedly.


Related Services

Success Stories

Success Stories

  • PSA uses HUAWEI CLOUD to support its global Connected Car platform, driving digital service innovation and providing high-quality connected cars for enterprises and individuals.
  • JAC Motors uses HUAWEI CLOUD Connected Car solution to build a unified, flexible Connected Car platform, connecting a large number of vehicles to the platform while ensuring service security.