Xiaomi’s venture into automotive industry takes a significant stride as the company’s latest models, SU7 and SU7 Max, makes its debut in the latest catalog from China’s Ministry of Industry and Information Technology. The listed entity is Beijing Automotive Group Co., Ltd. (BAIC), marked by the distinctive “Beijing Xiaomi” emblem on the rear.

Sources from Xiaomi’s car supply chain suggest an imminent small-scale trial production phase, hinting at the first model’s market introduction in February 2024, reported by UDN News.

As per the disclosure, the cars boast a 3,000mm wheelbase. SU7 will feature Fdbatt’s lithium iron phosphate batteries, and SU7 Max is complemented by CATL’s ternary lithium batteries. Interestingly, the smart driving features will not include an optional optical radar package.

The catalog showed Xiaomi’s car brand as Xiaomi, while the declared corporate entity is Beijing Automotive Group Off-Road Vehicle Co., Ltd. (BAIC ORV). The product’s rear proudly displays “Beijing Xiaomi.”

Despite leveraging BAIC’s production qualifications, Xiaomi’s car has its declared production address at the site of its self-established factory.

The car factory’s construction unfolds in two phases, with the first, covering approximately 720,000 square meters, achieving an annual capacity of 150,000 vehicles by June 2023. The second phase is slated to commence in 2024, concluding in 2025. Public records confirm the successful acceptance inspection of Xiaomi’s car first phase factory workshops on June 12.

Xiaomi Group Chairman Jun Lei’s October announcement highlighted smooth progress, anticipating an official launch in the first half of 2024.

Since Lei’s announcement of Xiaomi’s foray into smart cars, industry observers have closely monitored Xiaomi’s car dynamics. Internal sources reveal that Xiaomi’s car will leverage ICT industry experience to enhance operational efficiency across research, production, supply, and sales.

Xiaomi plans a US$10 billion investment in the automotive sector over the next decade. Operating in a wholly-owned model, Xiaomi aims to provide users with a comprehensive smart ecosystem and enrich their smart living experiences.

At the October Xiaomi product launch, the introduction of the HyperOS was a highlight, applicable not only to mobile devices but also set to feature in Xiaomi’s cars.

A notable addition revealed by National Business Daily, citing a supplier who visited Xiaomi’s car factory, is that the four major manufacturing process production lines (stamping, welding, painting, and final assembly) in Xiaomi’s car first phase factory are operational, engaging in small-scale trial production. With mass production scheduled to commence in December, Xiaomi’s car is poised for market launch in February next year.

(Image: China’s Ministry of Industry and Information Technology)

According to the article written by Tony Chen, Head of Investment Research at UBS Asset Management, the European Commission initiated an investigation in October into Chinese electric car manufacturers suspected of receiving national subsidies. The EU believes that Chinese state subsidies will create an “unfair trade competition environment” for EU electric car manufacturers.

If the EU’s investigation uncovers “subsidy evidence,” it will result in the calculation of corresponding “average anti-subsidy taxes,” which will apply to all electric vehicles imported from China, including prominent models produced in China such as Volkswagen, Tesla, BMW, and others.

The UBS research team suggests that, in the worst-case scenario, the EU may impose additional tariffs on Chinese electric cars imported into the EU.

What led to the trade conflict between China and the EU in electric vehicles? Firstly, the disparity in tariffs plays a crucial role.

Currently, Chinese cars entering the European market face a 10% import tariff, while in China, the situation is reversed, with a 15% tariff imposed on cars imported from Europe. This significant gap indicates potential room for negotiation.

Additionally, a report from the European Commission reveals that China’s market share for electric vehicles in Europe has risen to 8%, with expectations to reach 15% by 2025.

However, this figure includes cars manufactured in China for international brands, not exclusively domestically produced Chinese electric vehicles. According to JATO, an automotive industry research organization, the market share of “pure” Chinese brand electric vehicles in Europe was still below 1% as of the first half of this year. Nevertheless, overall, it underscores the strong presence of Chinese-manufactured electric vehicles in Europe.

From a practical standpoint, initiating a trade war in the electric vehicle sector involves consideration of various complex background factors. China is not only a primary supplier of raw materials to Europe but also a crucial market for European brands. In fact, China is already the world’s largest sales market for electric vehicles.

Chinese Electric Cars Enjoy High Margins, Positioned for Price Wars

The research team at UBS believes that, given the potential to boost sales through lower pricing, the competitive pricing of electric vehicles between Chinese and European brands will be crucial. Taking Tesla as an example, the company has adopted an aggressive pricing strategy for its EVs. In April, Tesla lowered the selling prices in the European region, with the retail price for the popular Model Y around €46,000. According to JATO, the Model Y is currently the best-selling EV in the European Union this year, showcasing the positive impact of a competitive pricing strategy on sales.

Following this argument, another set of data from JATO reveals that the selling prices of Chinese brand EVs in Europe range from €50,000 to €60,000, approximately in line with the European average.

In comparison, the average selling price of Chinese EVs domestically in China is only around €30,000. This indicates that Chinese EV manufacturers exporting to the European market enjoy relatively higher margins, providing them with the capability to engage in price wars. One major reason for the cost advantage of Chinese electric cars lies in battery manufacturing.

According to a previous report by TrendForce, Chinese battery manufacturers command a global market share exceeding 60%, allowing them to cover the entire battery production chain, share production costs, and continually advance new technologies. Since batteries represent approximately 40% of the total vehicle cost, Chinese electric cars offer superior cost-effectiveness.

On the other hand, the space for European car manufacturers to gain a competitive advantage through subsidies has gradually diminished. As the EV market expands, government subsidies in Europe are losing momentum. Germany has already reduced EV subsidies from €5,000 per vehicle to €3,000 this year.

Similarly, subsidies in the Netherlands, of a similar scale, are subject to quota limitations and were even exhausted by mid-2022. This implies that entering a price war could place European EVs at a relative disadvantage.

Overall, the EV market exhibits high price sensitivity, and European automakers face challenges in terms of cost competitiveness. In contrast, Chinese EV manufacturers have a cost advantage. Consequently, there is a growing possibility of a trade conflict in the European electric vehicle market.

(Photo credit: Pixabay)

According to IJIWEI News, two Indian government officials have revealed that India is considering Tesla’s request to reduce import duties on electric vehicles as an enticement for the company to establish a factory in the country.

Tesla has reportedly indicated that establishing a facility in India hinges on government concessions regarding import duties. Officials mentioned that Tesla insists on “at least a duty relaxation for a certain transition period” and added that “there would be sunset clauses.”

Currently, India imposes a 70% tax on imported cars under $40,000 USD to support the local automobile industry, while those above $40,000 USD face a 100% duty. India is contemplating reducing tariffs on all electric vehicles to 15%, regardless of their selling price, although there’s no unified consensus within the government.

As reported, the proposing officials hope that the aforementioned legislation will not only benefit India but also other qualifying manufacturers, instead of favoring a specific company alone.

Previously, there were reports suggesting Tesla’s intention to establish a factory in India for manufacturing low-cost electric vehicles, catering to the domestic market and planning for exports. However, Tesla’s 2022 plans for reduced import duties on electric vehicles were canceled as the Indian government insisted that the vehicles must be manufactured in India.

Over the past year, senior Tesla executives have met with Indian government officials at least three times. When Indian Prime Minister Narendra Modi visited the United States for an official visit in June this year, he met with Tesla CEO Elon Musk in New York to discuss the potential establishment of a plant in India.

(Photo credit: Pixabay)

According to IJIWEI’s news, during the Huawei Smart Mobility Conference held on November 9, Huawei, in collaboration with Chery, unveiled its first smart electric sedan, the Luxeed S7. Priced at a starting pre-sale cost of 258,000 RMB. Huawei had previewed the release of Luxeed S7 during a product launch event held on September 25th. “It will be superior to Tesla’s Model S in various aspects,” said Richard Yu, the CEO of Huawei.

The vehicle is produced on a new platform using Huawei’s smart automotive solution. It features the Huawei’s turing intelligent chassis, HarmonyOS 4 smart cockpit, and the advanced Huawei ADS 2.0 intelligent driving assistance system.

The Huawei ADS 2.0 advanced intelligent driving system is highlighted for its cutting-edge perception capabilities, obstacle recognition and processing abilities, and advanced features in intelligent driving and smart parking. The ADS 2.0 achieves a leading experience with nationwide map-agnostic driving, intelligent parking assistance, and continuous improvement over time, making it a top-tier intelligent driving system.

In terms of appearance, the Luxeed S7 incorporates an entirely new OneBox design to maximize the interior space, achieving a cabin space utilization rate of 88%. Richard Yu mentioned that after numerous internal discussions about pricing, it was found that all four versions of this car would incur losses. The hope lies in later substantial shipments of the car to offset these losses.

According to the introduction, the Luxeed S7 offers an impressive 800 kilometers of range, and a quick 15-minute charge can cover 400 kilometers. Richard Yu stated that in terms of energy consumption, the Luxeed S7 once again leads the industry with an energy consumption of 12.4 kWh per 100 kilometers.

Yu further mentioned that Huawei supports its partners in achieving commercial success through three cooperation modes: component supply mode, solution mode, and Huawei Smart Car mode. Currently, Huawei’s Smart Car model has four partner companies, including Seres, Chery, JAC Motors, and BAIC Group.

Currently, the Aito Series, including the M5, has seen cumulative deliveries surpass 120,000 vehicles, with the newly introduced M7 series achieving a cumulative sales total of 86,000 units. Even before its official release, the upcoming Aito Series M9 has received more than 25,000 pre-orders.

According to the introduction, Huawei’s Smart Travel Solution represents a strategic advancement in the Huawei Smart Choice Car model. It aims to leverage Huawei’s over 30 years of intelligent incremental component products in the ICT domain, technological solutions, and Huawei’s quality control, sales service, and brand marketing experiences accumulated over more than ten years in consumer businesses, deeply empowering partners to pioneer a new era of smart vehicles.

(Photo credit: Flickr)

The fusion of AIGC with end-user devices is highlighting the importance of personalized user experiences, cost efficiency, and faster response times in generative AI applications. Major companies like Lenovo and Xiaomi are ramping up their efforts in the development of edge AI, extending the generative AI wave from the cloud to the edge and end-user devices.

On October 24th, Lenovo hosted its 9th Lenovo Tech World 2023, announcing deepening collaborations with companies like Microsoft, NVIDIA, Intel, AMD, and Qualcomm in the areas of smart devices, infrastructure, and solutions. At the event, Lenovo also unveiled its first AI-powered PC. This compact AI model, designed for end-user applications, offers features such as photo editing, intelligent video editing, document editing, and auto task-solving based on user thought patterns. 

Smartphone manufacturers are also significantly extending their efforts into edge AI. Xiaomi recently announced their first use of Qualcomm Snapdragon 8 Gen 3, significantly enhancing their ability to handle LLMs at the end-user level. Xiaomi has also embedded AI LLMs into their HyperOS system to enhance user experiences.

During the 2023 vivo Developer Conference on November 1st, vivo introduced their self-developed Blue Heart model, offering five products with parameters ranging from billions to trillions, covering various core scenarios. Major smartphone manufacturers like Huawei, OPPO, and Honor are also actively engaged in developing LLMs.

Speeding up Practical Use of AI Models in Business

While integrating AI models into end-user devices enhances user experiences and boosts the consumer electronics market, it is equally significant for advancing the practical use of AI models. As reported by Jiwei, Jian Luan, the head of the AI Lab Big Model Team from Xiaomi, explains that large AI models have gain attention because they effectively drive the production of large-scale informational content. This is made possible through users’ extensive data, tasks, and parameter of AI model training. The next step in achieving lightweight models, to ensure effective operation on end-user devices, will be the main focus of industry development.

In fact, generative AI’s combination with smart terminal has several advantages:

1. Personal data will not be uploaded to the cloud, reducing privacy and data security risks.
2. AI models can connect to end-user databases and personal information, potentially transforming general AI LLMs into personalized small models, offering personalized services to individual users.
3. By compressing AI LLMs and optimizing end-user hardware and software, edge AI can reduce operating costs, enhance response times, and increase service efficiency.

Users often used to complain about the lack of intelligence in AI devices, stating that AI systems would reset to a blank state after each interaction. This is a common issue with cloud-based LLMs. Handling such concerns at the end-user device level can simplify the process.

In other words, the expansion of generative AI from the cloud to the edge integrates AI technology with hardware devices like PCs and smartphones. This is becoming a major trend in the commercial application and development of large AI models. It has the potential to enhance or resolve challenges in AI development related to personalization, security and privacy risks, high computing costs, subpar performance, and limited interactivity, thereby accelerating the commercial use of AI models.

Integrated Chips for End-User Devices: CPU+GPU+NPU

The lightweight transformation and localization of AI LLMs rely on advancements in chip technology. Leading manufacturers like Qualcomm, Intel, NVIDIA, AMD, and others have been introducing products in this direction. Qualcomm’s Snapdragon X Elite, the first processor in the Snapdragon X series designed for PCs, integrates a dedicated Neural Processing Unit (NPU) capable of supporting large-scale language models with billions of parameters.

The Snapdragon 8 Gen 3 platform supports over 20 AI LLMs from companies like Microsoft, Meta, OpenAI, Baidu, and others. Intel’s latest Meteor Lake processor integrates an NPU in PC processors for the first time, combining NPU with the processor’s AI capabilities to improve the efficiency of AI functions in PCs. NVIDIA and AMD also plan to launch PC chips based on Arm architecture in 2025 to enter the edge AI market.

Kedar Kondap, Senior Vice President and General Manager of Compute and Gaming Business at Qualcomm, emphasizes the advantages of LLM localization. He envisions highly intelligent PCs that actively understand user thoughts, provide privacy protection, and offer immediate responses. He highlights that addressing these needs at the end-user level provides several advantages compared to solving them in the cloud, such as simplifying complex processes and offering enhanced user experiences.

To meet the increased demand for AI computing when extending LLMs from the cloud to the edge and end-user devices, the integration of CPU+GPU+NPU is expected to be the future of processor development. This underscores the significance of Chiplet technology.

Feng Wu, Chief Engineer of Signal Integrity and Power Integrity at Sanechips/ZTE, explains that by employing Die to Die and Fabric interconnects, it is possible to densely and efficiently connect more computing units, achieving large-scale chip-level hyperscale computing.

Additionally, by connecting the CPU, GPU, and NPU at high speeds in the same system, chip-level heterogeneity enhances data transfer rates, reduces data access power, increases data processing speed, and lowers storage access power to meet the parameter requirements of LLMs.

(Image: Qualcomm)