Emerging Automaker Strategy Research Report, 2022 - Li Auto
  • Nov.2022
  • Hard Copy
  • USD $3,000
  • Pages:96
  • Single User License
    (PDF Unprintable)       
  • USD $2,800
  • Code: JXM014
  • Enterprise-wide License
    (PDF Printable & Editable)       
  • USD $4,200
  • Hard Copy + Single User License
  • USD $3,200
      

Research on Emerging Automaker Strategy: the strategic layout of Li Auto in electric vehicles, cockpits and autonomous driving

Li Auto will shift from the single extended-range route to the “extended-range + high-voltage battery-electric” route of in 2023.

Li 1_副本.png

In the first half of 2022, Li Auto sold 60,801 vehicles, up 99.1% year-on-year. In terms of models, Li ONE still played a main role in the first half of the year. With the launch of L8 in September 2022, Li ONE will be gradually withdrawn from the production line, while L8, L7 and L9 will be the focus of production and marketing in the future.
 
As for product planning, all the models currently being sold by Li Auto are extended-range electric vehicles. However, Li Auto plans to launch at least two high-voltage battery-electric vehicles every year from 2023 onward. For the purpose of high-voltage super-fast charging, Li Auto deploys the following four aspects: First, 4C batteries. Second, application of SiC technology. Third, thermal management system. Fourth, 400KW charging network.
 
According to its plan, Li Auto will produce the third-generation semiconductor SiC power chip in 2024. At the same current of the high-voltage platform, this chip is 70% smaller than an IGBT chip, with the comprehensive efficiency being improved by 6%. The layout of Li Auto’s 800V high-voltage battery-electric technology reveals that one of the selling points of new cars in the future will be reflected in the charging speed.

Li 2_副本.png

Li 3_副本.png

Li Auto has self-developed AEB and NOA and laid out autonomous driving chips to progress on intelligent driving
 
As for the progress of intelligent driving, Li Auto has developed AEB system by itself as a "latecomer". In the future, Li Auto will provide all open source codes of its AEB system to improve traffic safety.
 
In addition, Li Auto added NOA to 2021 Li ONE in December 2021, improved the performance of AEB, and optimize the detection and fusion of cameras and radar. Since 2022, all new cars have been equipped with Li Auto’s self-developed hardware compatible with L4 autonomous driving as standard. Li Auto plans to make urban NGP functions available in Li L9 through OTA in 2023, and install L4 autonomous driving capability on production vehicles via OTA around 2024.

Li 4_副本.png

Regarding the core underlying technology layout of intelligent driving, Li Auto established Sichuan Lixiang Intelligent Technology Co., Ltd. in May 2022 to design chips. In August 2022, Xie Yan, the former vice president of Huawei Software, joined Li Auto as the head of system R&D division. The system R&D division is mainly responsible for R&D of some underlying intelligent technologies, including Li Auto's self-developed operating system and computing platform. Li Auto's computing platform business also includes its self-developed intelligent driving chip project.
 
For the intelligent driving algorithm, Li Auto uses BEV framework similar to that of Tesla, that is, it utilizes pure vision for motion perception prediction. On the basis of BEV visual information, Li Auto exploits additional LiDAR and HD map information input to implement the BEV fusion algorithm, and adds a visual security module and a LiDAR security module which are redundant with BEV framework model for the sake of an extra layer of protection.

Li 5_副本.png


The cockpit of Li Auto upgrades from 2D interaction to 3D interaction.

The cockpit multi-modal interaction represents development trend of human-machine co-driving era. As per three new cars launched in 2022, Li Auto upgrades the past four-screen 2D interaction in Li ONE to current five-screen 3D interaction, and realizes “voice+gesture” multi-modal interaction.

For example, the five screens of Li L9 include a safe driving interactive screen, a W-HUD with a projected area of 13.35 inches, a 15.7-inch integrated center console screen and co-driver screen, and a 15.7-inch rear entertainment screen. The in-vehicle 3D ToF sensor perceives the cockpit environment in real time. Plus, 6 microphones, 7.3.4 panoramic sound layout, 5G dual-operator automotive communication network, and multi-modal spatial interaction technology developed by Li Auto based on deep learning enable the three-dimensional interaction in the cockpit.

Li 6_副本.png

In terms of perception, Li AI, the intelligent cockpit space, imitates the coordination of human ears and eyes to attain the three-dimensional information perception inside the vehicle under the influence of multi-modal attention technology by a distributed hexasilicon microphone, an IR 3D ToF sensor, MIMO-Net six-vocal-range enhancement network and MVS-Net multinocular & multi-view visual fusion network.
 
As for understanding and expression, Li AI restores the multi-source heterogeneous data sensed by fusion perception to concrete events in the network, and fulfills further abstract understanding. Ultimately, knowledge linking, knowledge completion and logical reasoning form an event graph, allowing machines to have their own understanding and decision-making capabilities.
 
Regarding voice technology, Li Auto defines its voice assistant "Lixiang Tongxue" as the user's housekeeper (current stage) and family (future goal), and plans a three-stage product upgrade. At present, the goals of the first two stages have been achieved through OTA: The first stage: Li Auto’s self-developed "Lixiang Tongxue" engine replaces the underlying capabilities with Horizon + AIspeech + Microsoft, etc.

The second stage: "what you see is what you can say", four-vocal-range locking and other functions.
 
In the future, the voice system will offer functions such as "from application-on-demand to network-on-demand", cross-screen multi-person dialogue, and "the front passenger can pick up the conversation after the driver finishes speaking".

Li 7_副本.png

Top10 Emerging Automakers by Sales Volume in 2021
 
1 Profile of Li Auto 
1.1 Basic Information
1.2 Development History
1.3 Revenue, Sales Volume and Planning
1.4 Carmaking Platform and Product Planning
1.5 Financing History
1.6 Investment History
1.7 R&D Investment and Direction
1.8 Production Layout
1.9 Marketing and Services
1.9.1 Sales Models
1.9.2 Distribution of Offline Service Outlets
1.9.3 Sales Channels
1.9.4 After-sales Services
1.9.5 Financial Solutions
 
2 User Operation of Li Auto APP
2.1 Version Iteration of Li Auto APP (1)
2.1 Version Iteration of Li Auto APP (2)
2.1 Version Iteration of Li Auto APP (3)
2.2 User Portrait and Homepage Analysis
2.3 Functional Plate Analysis - Community Plate and News Plate
2.4 Functional Plate Analysis - Vehicle Control Plate
2.5 Functional Plate Analysis - Commodity Categories and Characteristics of Li Auto Mall
2.6 Functional Plate Analysis - My Plate
2.7 Operation Strategy and User Growth System
2.8 User Growth System - Points Features and How to Obtain Them 
2.9 User Growth System - Points Consumption Modes
2.10 User Growth System - Badges and Membership Levels
 
3 Electric Technology of Li Auto
3.1 Comparison between Models on Sale in Dynamic Performance Parameters
3.2 Electric Technology Layout
3.3 Features of Power System
3.4 The First-generation Extended-range Electric Solution for Vehicles
3.5 The Second-generation Extended-range Electric Solution for Vehicles
3.6 Thermal Management System Structure and Suppliers of Li ONE
3.7 Thermal Management System Strategy of Li ONE
3.8 Thermal Management System and Drive System Suppliers of Li L9
3.9 Energy Supplement Modes of Vehicles
3.10 Super Charging Network Planning
3.11 Electrification Dynamics
 
4 Electronic and Electrical Architecture of Li Auto
4.1 Evolution of EEA: LEEA 1.0–LEEA 3.0
4.2 LEEA 2.0 Hardware Architecture: AD Max
4.3 LEEA 2.0 Hardware Architecture: Autonomous Driving Algorithm
4.4 LEEA 2.0 Hardware Architecture: Intelligent Cockpit
4.5 LEEA 2.0 Hardware Architecture: Central Domain Controller (XCU)
4.6 LEEA 2.0 Hardware Architecture: Central Computing Platform +4 Zonal Controllers
4.7 LEEA 3.0 Hardware Architecture: Central Computer Unit (CCU) (1)
4.8 LEEA 3.0 Hardware Architecture: Central Computer Unit (CCU) (2)
4.9 LEEA 3.0 Hardware Architecture: Zonal Controller
4.10 LEEA 3.0 Communication Architecture: PCIe Switch and TSN Switch
4.11 LEEA 3.0 Software Architecture: Definition and Deployment of Multi-level Services
4.12 LEEA 3.0 Software Architecture: LiOS (Li Auto OS)
 
5 Intelligent Driving Technology of Li Auto
5.1 Autonomous Driving Development Roadmap 
5.2 Autonomous Driving Chip Layout 
5.3 Intelligent Driving R&D Model
5.4 Intelligent Driving Algorithm (1)
5.4 Intelligent Driving Algorithm (2)
5.5 Intelligent Driving Data Accumulation and Processing
5.6 AD System and Typical Models  
5.7 AD MAX System
5.8 AD Pro System
5.9 Hardware Iteration and Suppliers of ADAS 
5.10 ADAS Hardware - Comparison between NIO, Li Auto and Xpeng in LiDAR Solutions
5.11 Software Iteration of ADAS
5.12 ADAS - NOA Functions
5.13 ADAS - Comparison between NIO, Li Auto, Xpeng and Tesla in NOA Solutions
5.14 Development Roadmap of Autonomous Parking System
5.15 Functional Evolution of Automated Parking
5.16 Visual Parking at All Scenarios
5.17 Dynamics of Cooperation in Autonomous Driving
 
6 Intelligent Cockpit and IoV Technology of Li Auto
6.1 OTA Update Modes  
6.2 OTA Update Analysis - by Frequency
6.3 OTA Update Analysis - by Year
6.4 OTA Update Analysis - by Category
6.5 Major Changes in OTA Updates (1)
6.5 Major Changes in OTA Updates (2)
6.6 OTA Update Plan
6.7 Intelligent Cockpit Configuration
6.8 Seating Configuration of L9, L8 and L7
6.9 Li AI
6.10 Li AI Interaction (1)
6.10 Li AI Interaction (2)
6.10 Li AI Interaction (3)
6.11 Example of Li AI Application: L9
6.12 Other Intelligent Cockpit Suppliers
6.13 Intelligent Cockpit R&D Planning
6.14 Intelligent Voice System
6.15 Automotive Application Ecology
6.16 Actual IoV Security 
6.17 Dynamics of Cooperation in IoV
 

Next-generation Central and Zonal Communication Network Topology and Chip Industry Research Report, 2025

The automotive E/E architecture is evolving towards a "central computing + zonal control" architecture, where the central computing platform is responsible for high-computing-power tasks, and zonal co...

Vehicle-road-cloud Integration and C-V2X Industry Research Report, 2025

Vehicle-side C-V2X Application Scenarios: Transition from R16 to R17, Providing a Communication Base for High-level Autonomous Driving, with the C-V2X On-board Explosion Period Approaching In 2024, t...

Intelligent Cockpit Patent Analysis Report, 2025

Patent Trend: Three Major Directions of Intelligent Cockpits in 2025 This report explores the development trends of cutting-edge intelligent cockpits from the perspective of patents. The research sco...

Smart Car Information Security (Cybersecurity and Data Security) Research Report, 2025

Research on Automotive Information Security: AI Fusion Intelligent Protection and Ecological Collaboration Ensure Cybersecurity and Data Security At present, what are the security risks faced by inte...

New Energy Vehicle 800-1000V High-Voltage Architecture and Supply Chain Research Report, 2025

Research on 800-1000V Architecture: to be installed in over 7 million vehicles in 2030, marking the arrival of the era of full-domain high voltage and megawatt supercharging. In 2025, the 800-1000V h...

Foreign Tier 1 ADAS Suppliers Industry Research Report 2025

Research on Overseas Tier 1 ADAS Suppliers: Three Paths for Foreign Enterprises to Transfer to NOA Foreign Tier 1 ADAS suppliers are obviously lagging behind in the field of NOA. In 2024, Aptiv (2.6...

VLA Large Model Applications in Automotive and Robotics Research Report, 2025

ResearchInChina releases "VLA Large Model Applications in Automotive and Robotics Research Report, 2025": The report summarizes and analyzes the technical origin, development stages, application cases...

OEMs’ Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2025

ResearchInChina releases the "OEMs’ Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2025", which sorts out iterative development context of mainstream automakers in terms of infota...

Autonomous Driving SoC Research Report, 2025

High-level intelligent driving penetration continues to increase, with large-scale upgrading of intelligent driving SoC in 2025 In 2024, the total sales volume of domestic passenger cars in China was...

China Passenger Car HUD Industry Report, 2025

ResearchInChina released the "China Passenger Car HUD Industry Report, 2025", which sorts out the HUD installation situation, the dynamics of upstream, midstream and downstream manufacturers in the HU...

ADAS and Autonomous Driving Tier 1 Suppliers Research Report, 2025 – Chinese Companies

ADAS and Autonomous Driving Tier 1 Suppliers Research Report, 2025 – Chinese Companies Research on Domestic ADAS Tier 1 Suppliers: Seven Development Trends in the Era of Assisted Driving 2.0 In the ...

Automotive ADAS Camera Report, 2025

①In terms of the amount of installed data, installations of side-view cameras maintain a growth rate of over 90%From January to May 2025, ADAS cameras (statistical scope: front-view, side-view, surrou...

Body (Zone) Domain Controller and Chip Industry Research Report,2025

Body (Zone)  Domain Research: ZCU Installation Exceeds 2 Million Units, Evolving Towards a "Plug-and-Play" Modular Platform The body (zone) domain covers BCM (Body Control Module), BDC (Body Dom...

Automotive Cockpit Domain Controller Research Report, 2025

Cockpit domain controller research: three cockpit domain controller architectures for AI Three layout solutions for cockpit domain controllers for deep AI empowerment As intelligent cockpit tran...

China Passenger Car Electronic Control Suspension Industry Research Report, 2025

Electronic control suspension research: air springs evolve from single chamber to dual chambers, CDC evolves from single valve to dual valves ResearchInChina released  "China Passenger Car Elect...

Automotive XR Industry Report, 2025

Automotive XR industry research: automotive XR application is still in its infancy, and some OEMs have already made forward-looking layout  The Automotive XR Industry Report, 2025, re...

Intelligent Driving Simulation and World Model Research Report, 2025

1. The world model brings innovation to intelligent driving simulation In the advancement towards L3 and higher-level autonomous driving, the development of end-to-end technology has raised higher re...

Autonomous Driving Map (HD/LD/SD MAP, Online Reconstruction, Real-time Generative Map) Industry Report 2025

Research on Autonomous Driving Maps: Evolve from Recording the Past to Previewing the Future with "Real-time Generative Maps" "Mapless NOA" has become the mainstream solution for autonomous driving s...

2005- www.researchinchina.com All Rights Reserved 京ICP备05069564号-1 京公网安备1101054484号