月度归档 2024年6月27日

Autonavi Maps released AutoSDK 750 for the automotive industry: upgraded lane-level navigation 5.0, multi-scene lane-level safety warning and other functions

  Recently, at the 16th China Automotive Blue Book Forum, Autonavi Maps officially released AutoSDK 750 for the automotive industry, launching a number of function updates including new energy navigation, multi-scenario lane-level safety warning, lane-level navigation 5.0, co-pilot screen weekend travel assistant, driver interconnection seamless connection experience, scene engine fast departure, etc.

  In recent years, China’s new energy vehicle market penetration rate has been rising, as of March 2024 has reached 48.2%, and in 2023 this data is only 31.6%.

  This growth rate indicates that in the near future, new energy vehicles will become the dominant force in the Chinese market. At the same time, the application of artificial intelligence, big data, cloud computing and other technologies has also brought unprecedented innovation and change to the automotive industry.

  Jiang Rui, vice president of Autonavi Maps, judged that the future mainstream car is a combination of new energy and intelligence, and the core R & D strength of the car factory will be concentrated in these two parts. At the same time, no matter what the price of travel, the driver and passenger experience cannot escape the three keywords of "safety, efficiency and comfort".

  "Autonavi Maps will also provide users with valuable mobility products around these three keywords," Jiang Rui said.

  Intelligent and new energy face challenges

  According to the data, as of May 2023, the member units of the China Charging Alliance have reported a total of 2.084 million public charging piles, including 877,000 DC charging piles and 1.207 million AC charging piles. From June 2022 to May 2023, the monthly average of new public charging piles is about 55,000.

  Although a large number of charging piles have been built, the current total amount of charging piles cannot fully meet the charging needs of electric vehicles. At the same time, factors such as uneven distribution of charging piles and uneven quality of charging piles have caused the tram to be easy to use and difficult to charge.

  When planning the charging route of electric vehicles, taking into account various factors such as different car companies’ different definitions of charging preferences, users’ preferences for charging piles, and the inconvenience of charging piles located underground will lead to "charging anxiety" when users go out.

  With the continuous improvement of the human-vehicle interaction experience, the integration of various information such as navigation, control, and information display into a highly visually impactful screen has become the prelude to the transformation of smart cars, and the multi-screen interconnection design has also become a new generation of smart cars.

  However, the exclusive screen services corresponding to the main driver’s screen, co-pilot’s screen, and rear cabin screen, because of their different functions, how to ensure that the navigation information before the screen flows, rather than exists in isolation. This is affected by many factors such as safety, physical materials, and performance.

  At the same time, due to inconsistent strategies and technologies, users experience differences when using mobile phones and cars to navigate. Intelligence is inseparable from the discussion of "handcar interconnection". In the navigation scenario, how to create intelligent experiences at different end points of mobile phones and cars is also a challenge currently facing.

  In addition, on the one hand, China’s transportation game is extremely complex, not only reflected in the scale and diversity of transportation networks, but also in policy formulation, planning implementation, operation management and other aspects. On the other hand, as of the first half of 2023, China’s new passenger car sales with combined driving auxiliary features have accounted for 42.4%.

  Complex traffic information and a large number of auxiliary driving vehicles also put forward further requirements for maps, mainly reflected in map freshness, complex intersection recognition, dynamic variable processing, recognition training generalization of traffic infrastructure, and understanding of traffic rules.

  This also puts forward further requirements for the safety early warning capability in the travel ecosystem. At present, the Autonavi map app has realized the lane-level early warning function of the top ten scenarios, providing users with real-time early warning of driving risks in an all-round and over-the-horizon manner, making travel safer.

  Finally, although all mid-to-high-end models are currently equipped with lane-level navigation functions as standard, there is still room for improvement in terms of effectiveness, performance, and efficiency.

  AutoSDK 750 + lane-level navigation 5.0 + HQLive map services provide comprehensive solutions to help automakers create user experiences that exceed expectations

  Based on this background, Autonavi Maps officially released AutoSDK 750 for the automotive industry, providing users with better services and experiences together with automakers.

  Based on the rich and prepared charging pile data, it brings users more personalized type screening and search recommendation functions. Support checking "alternative charging stations", user setting pile preference/block charging piles, alternative routes, and can provide a consistent experience of handcar interconnection.

  Starting with the short-distance tour scene of a family trip, the co-pilot screen will display the full list of the journey and highlight the unique geographical location information during the journey, allowing the co-pilot to be a good driver and helper.

  It can be connected on foot. When the user plans to go to the shopping mall store, they can navigate to the parking lot, walk to the store in the shopping mall, automatically connect to the AutoNavi Map mobile APP, and navigate the return on foot through the recorded parking location.

  Non-inductive interconnection, supports more effective mutual discovery between the car and the Autonavi mobile APP, prompts the user to scan and log in from the mobile phone side to realize connection, and can realize functions such as mobile phone viewing POI and automatic navigation initiated by the car after planning the route.

  Based on massive travel data, anticipate the user’s travel purpose, prompt the user on the car map, and directly click on the navigation to start quickly.

  In addition, last year, Autonavi Maps released HQ Live MAP, which integrates the advantages of HD MAP and SD MAP, and through self-developed crowdsource equipment, based on the visual crowdsource acquisition technology under the compliance platform, it is widely deployed to a large number of logistics vehicles, industry vehicles, dispatching vehicles, etc., to achieve a significant improvement in the complete process from discovery, collection, production to release, and to create a "living map" with multiple partners.

  Jiang Rui said that the current HQ Live MAP is constantly improving its freshness, not only expressing complex intersection scenes with sufficient detail, but also providing a large amount of real-time and accurate dynamic data such as lane-level construction and accidents, which can not only provide over-the-horizon warning when driving, but also effectively improve the safety of advanced driver assistance systems.

  At present, Autonavi has partnered with Ideal to update the dynamic construction information function, which will alert the driver earlier when the assisted driving is turned on.

  Jiang Rui said that we clearly know that Autonavi is not enough to develop a navigation that exceeds users’ expectations in the car. We are very grateful to the customer’s Product R & D test team, without whom Autonavi would not have been successful in the automotive field. We also hope to use our modest power to help them develop a product that exceeds expectations more efficiently through knowledge and tool system.

  At present, the Autonavi Automotive Open Service website has provided comprehensive product, design, development and testing guidelines for certified users for customer reference, and will increase the ability of models in the future. Launched a new development intelligence kit, continuously reducing granularity to provide engineers with effective code, and will continue to improve design tools, power builders and testing tools, dedicated to providing customers with a tool chain that can reduce costs and increase efficiency.

  Jiang Rui said that we will continue to work on the road of "good development" and "good development", so that car companies can develop products that exceed user expectations more efficiently and cost-effectively. Dozens of car companies have chosen AutoSDK750 and lane-level 5.0 version for mass production or OTA, and we are also working non-stop on the development of the next generation version and the planning of the next generation version.

  As a leading provider of digital map content, navigation and location-based service solutions in China, "making a map" has been Autonavi’s original intention since its establishment in 2002. Over the past two decades, it has accumulated strong technologies, products and ecological capabilities, and is in a leading position in the industry from the perspective of "guiding people" and "guiding cars". As of now, Autonavi has more than 40 car company partners and has served hundreds of thousands of cars in mass production.

  Jiang Rui said that China’s automobile industry is facing upgrading changes, and opportunities and challenges coexist on the road to new energy and intelligence. Autonavi Map will work with all partners to contribute to the upgrading of China’s automobile industry.

 

Smart travel makes cities faster


The project team successfully upgraded the public from traffic information users to traffic information collectors

On October 9th, at 18:00, due to the unlimited number, the evening rush hour in Beijing was particularly congested that day.

But for Qi Peng, who commutes between Tongzhou and Zhongguancun every day, dealing with such congestion is "very good". Before setting out, he always uses the mapping software on his mobile phone to navigate, so that he can choose the best driving route.

"Mobile navigation is one of the most frequent apps I open every day. Whether I’m driving or taking public transportation, it allows me to reach my destination accurately and quickly," Qi Peng told reporters.

Nowadays, with the rapid development of cities in our country, the increase in car ownership, and the development of mobile Internet, there are more and more people like Qi Peng, and smart travel has become the "new normal" for many people.

So, how can these navigation software that acts as a "guide" provide accurate road conditions to avoid congested roads? How can navigation software provide reasonable travel plans to help us reach our destinations easily?

In this regard, the "Urban Traffic Guidance and Navigation Travel Key Technology and Application Service" project team composed of the Institute of Geographic Resources of the Chinese Academy of Sciences, Zhangcheng Technology, Qianfang Group and other units has spent many years of research, using satellite positioning, mobile communication, high-performance computing, geographic information system and other technologies to implement the real-time perception of the status of urban and intercity road traffic systems, accurately and comprehensively providing traffic conditions to the people through mobile phone navigation, roadside electronic bulletin boards, traffic radio and other channels. On this basis, the integrated driving behavior real-time sensing and analysis technology to achieve multi-mode and multi-standard dynamic navigation for public travel, improve travel efficiency; and assist traffic management departments to formulate traffic management plans, promote urban energy conservation and emission reduction, and improve urban operation efficiency. In the 2015 Beijing Science and Technology Awards review, the project won the first prize.

Create a national traffic information map

During the driving process, the navigation software would issue instructions and prompts in real time: "Turn left 100 meters ahead" "Congestion ahead is one kilometer, it is expected to take 5 minutes to pass"… Many people would be surprised, why is the navigation software so "smart"? Is it relying on the cameras on both sides of the road or the induction coil buried in the ground?

Lu Feng, the project owner and a researcher at the Institute of Geographic Resources of the Chinese Academy of Sciences, told reporters that traditional traffic information acquisition relies on devices such as induction coils deployed under road sections or video probes above roads. "These devices are fixed in location and have high costs, so they cannot fully reflect the real-time status of urban traffic."

Therefore, the project team must "find another way".

The project team "targeted" the taxis. Since the taxis were equipped with satellite navigation and positioning, they could periodically send back location and status information to the monitoring and dispatching center. These taxis that cruised the streets every day became an important source of urban traffic information collection.

However, taxis are not a "one-and-done" solution. After all, the scale and range of taxis are limited. Especially with the increasing popularity of self-driving travel, timely access to inter-city and even national traffic information has become a "rigid demand" for people to travel.

The project team decided to build a new "traffic status induction coil," which covers a wide range of areas, including long-distance buses and trucks, monitoring tracks, mobile phone map client side tracks, Internet websites and social network text messages.

"According to the requirements of the state, all long-distance buses, tourist chartered buses, dangerous goods transporters and general cargo trucks across the country must be equipped with mandatory traffic monitoring equipment to monitor the whole process of driving, prevent drivers from driving fatigue and reduce traffic accidents. These instruments will upload the driving track of the car in real time, and the accuracy rate is extremely high, so that we have a mobile information source covering the whole country," Lu Feng said.

Not only that, the project team also keenly observed that in the Internet age, a large number of users use mobile map services online every day, and these high-frequency satellite positioning trajectories have undoubtedly greatly expanded the ranks of car-based mobile information sources. In addition, there is a huge amount of traffic information on the Internet, both official and netizens’ own road conditions, road books and other information posted on social networks. So, can we make full use of these high-frequency trajectories of Internet maps and massive text on social networks to give full play to the power of the masses and obtain real-time traffic information?

In response to these technical bottlenecks, the project team broke through technical bottlenecks such as large-scale high and low frequency moving target trajectory map matching and traffic state analysis, Internet and social media text contains traffic information extraction, and multi-source traffic information real-time fusion, and built a service delivery and user feedback traffic information ecosystem. A nationwide traffic information service system was established, and a national traffic information map was realized.

The project team successfully upgraded the public from traffic information users to traffic information collectors. This information provides people with the operation status of the urban road network, effectively guides people to travel and avoid congested road sections.

"When you open the navigation software, your current traffic information will be automatically uploaded, which means that everyone is both a beneficiary and a provider of traffic information, which is also a manifestation of the Internet sharing economy," Lu Feng said.

It is reported that today, the system processes more than 2 million taxis and vans, more than 8 million mobile phone map tracks, more than 10,000 fixed sensors, and more than 10,000 traffic event texts every day.

The efficiency of navigation map update is greatly improved

In navigation, we often worry that map updates cannot keep up with changes in roads or surrounding business districts. Due to the intensive construction of cities and frequent changes in commercial outlets, current applications such as mobile maps generally have insufficient timeliness.

In the past, navigation map updates had to be done by collecting vehicles and other means. Unlike ordinary vehicles, there was a half-meter-high white shelf on the roof of the collecting vehicle, and the camera on the shelf could take a full-angle shot of the surrounding scenery, and then transmit it to the computer. Then, the data operator would post-process the captured video, generate or update the navigation map, and store it in the system.

"This kind of update is very labor-intensive, and often a navigation map company has to maintain a data collection and update team of several hundred people, and the cost is huge," Lu Feng said.

The project team believes that the mobile Internet has provided a good information sharing environment for businesses and the general public, and various time-sensitive road network maps and business service information have emerged in an endless stream. If these non-professional maps originated from volunteers are integrated with professional navigation map data, they can provide services to the general public faster and better.

In response to this technical bottleneck, the project team conducted in-depth research, first proposed a geometric pattern-based interest point and road network integration model, established a mapping relationship between the two, and broke through the problem of semantic consistency detection. Then, a heuristic probabilistic relaxation matching model was proposed to achieve the perfect integration of volunteer sources and commercial navigation road networks, with matching accuracy better than 95%, effectively ensuring the richness of information in travel navigation and map applications.

Convenient and accurate multimodal path navigation

Nowadays, the use of mobile phone navigation is not only in driving, but also in the bus, subway, bicycle or walking.

When we go to unfamiliar places by public transportation, we usually need to consider a series of questions: which bus to take? How to get to the bus stop? Which subway to change? How to change to the subway? Which subway exit to enter and exit from? How to get to where we want to go after getting out?…

Due to the differences in the road network environment, these personalized multi-mode travel needs are becoming increasingly prominent. Coupled with the real-time changes in road condition information and the rapid changes in the road network environment, how to provide multi-mode, multi-standard and reliable travel route choices according to the needs of the people?

In response to this problem, the project team developed a travel path planning algorithm group that takes into account different travel standards (short time, low cost, low fuel consumption, less transfer, etc.) and involves different travel modes (self-driving, taxi, bus, subway, walking, etc.).

The algorithm breaks through the technical bottlenecks of multi-mode traffic network spatial data model, multi-mode connectivity automatic processing, reliable travel time prediction, multi-mode multi-standard reliable path planning, multi-user concurrent path query load balancing, etc., and realizes the upgrade of the navigation system.

"We can provide a reasonable travel plan based on the starting and ending points set by the people themselves, and help the people reach the destination conveniently," Lu Feng said.

Environmentally friendly driver assistance systems reduce energy waste

Advocating green travel and achieving energy conservation and emission reduction is the eternal pursuit of urban transportation. Drivers’ bad driving habits often increase the fuel consumption cost of cars, resulting in energy waste and environmental pollution.

In response to this problem, the project team developed an environmentally friendly driving assistance system to provide drivers with a driving strategy suggestion function. This function uses mathematical modeling to transform environmentally friendly driving problems into optimization problems, and calculates the speed range of the car through traffic flow modeling. Then, the optimal driving strategy (optimal gear, speed) of the car in each speed range is solved through the equation between fuel consumption and the driving speed, gear position, and engine load of the car.

The system also collects vehicle driving data such as engine speed and acceleration through a variety of sensors to judge the driver’s environmental protection driving level, establish an incentive mechanism for environmental scoring rankings, and promote a benign change in drivers’ driving habits. At the same time, combined with real-time traffic information, a dynamic path method for energy-saving and environmentally friendly driving has been developed, providing people with green travel planning for energy conservation and emission reduction.

It is understood that the real-time traffic information released by the project covers major highways, national highways and provincial highways across the country (with a mileage of more than 85,000 kilometers), as well as 47 large and medium-sized cities such as Beijing, Shanghai, Guangzhou, and Shenzhen, with an accuracy rate of more than 90%. The research results are directly transformed into three software products and a traffic information service website, and through traffic information services and traffic information technology services, it has successfully cooperated with Internet manufacturers, automobile manufacturers, navigation map manufacturers, and mobile communication operators. The users of traffic information products exceed 200 million, and the daily visits exceed 10 million, generating direct economic benefits 120 million yuan.

The research results of this project have greatly improved the technical level of our country’s traffic information service industry, promoted the formation and improvement of our country’s traffic information service technology system, provided mature traffic guidance information support for large and medium-sized urban traffic management departments across the country, and provided hundreds of millions of users across the country with all-weather and large-scale smart travel information services. (reporter, statement)

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Losses in half a year exceeded 10 billion! When will NIO climb out of the "autophagy" vortex of gross profit margin?

In addition to huge losses, NIO is getting deeper and deeper in the vortex of "autophagy" of gross margins.

The new power automakers in the first half of 2023 showed a trend of polarization, both in terms of delivery volume and performance.

Looking at the half-year performance of listed car companies according to the statistics of "Automotive K Line", only three car companies in the passenger car sector have experienced the phenomenon of "loss expansion", NIO and XPeng Motors occupy two of them, and they are also lossmaking. NIO’s situation is somewhat special.

1 Former "boss", today "hip pulling"

With the announcement of NIO’s second-quarter results on August 29, the former three giants of new forces "Wei Xiaoli" and the late-comer Zero Run Car both handed over the first half of 2023. Among the three giants of new forces who used to "remember the hardships and think about changes" together, Li Auto has already taken the lead in turning losses into profits and successfully entered the independent head camp. However, NIO, which was ranked first in new forces, has been left behind by Li Auto by a huge gap, and even inferior to the late IPO Zero Run Car.

The second quarter results show that NIO’s operating income in the second quarter of 2023 reached 8.772 billion yuan, down 14.8% and 17.8% from the same quarter, lower than market expectations. Among them, automobile sales were 7.185 billion yuan, with a decrease of more than 20% from the same quarter.

In this regard, the explanation given by NIO is that the average selling price was reduced mainly due to the increase in the delivery of ET5 and 75kWh standard battery packs, and the decline in delivery also led to the decline in Quarter 1 car sales.


"The image is from the NIO announcement."

From the perspective of deliveries, NIO did experience a short-term slump in the first half of the year.

In the second quarter of this year, NIO delivered 23,520 vehicles, a decrease of 6.14% year-on-year and a decrease of 24.22% month-on-month; in the first half of the year, 54,561 vehicles were delivered, a slight increase of 7.35% year-on-year; after June, NIO deliveries gradually picked up and exceeded 20,000 vehicles in July.

Li Auto has continued to break through this year, and has delivered 139,100 vehicles in the first half of the year alone.

As for profits, it is also the case of "one family is happy and several are worried".

In the second quarter of this year, Li Auto’s net profit reached 2.31 billion yuan, an increase of 147.4% compared with Quarter 1, becoming the third new energy automobile company to maintain consecutive quarterly profits after BYD and Tesla.

NIO is showing a trend of expanding losses. In the second quarter, NIO’s net loss was 6.056 billion yuan, an increase of 119.6% year-on-year and 27.8% month-on-month. In the first half of this year, NIO’s net loss has exceeded 10.90 billion yuan, an increase of 139.07% year-on-year. The degree of loss is about two Xiaopeng and close to five zero runs.

No matter whether it is a single quarter or the entire first half of the year, NIO’s net profit attributable to the parent has hit a record low for the same period in history.

When everyone first "debuted" at the same time, NIO was once the "big brother" of the new car-making force in the limelight, but now its profitability is directly at the bottom of the "Wei Xiaoli" three, and it is even inferior to the zero-run car that came from behind.

Where did NIO’s money "lose"?

2 Continuing the "vicious circle" for the first quarter?

In fact, the previously mentioned problem of falling auto sales due to higher deliveries of low-priced cars did not occur only in the second quarter. According to the first quarter performance report of 2023, NIO’s auto sales revenue in the first quarter was 9.225 billion yuan, down 0.2% and 37.5% respectively from Quarter 1 in 2022 and the fourth quarter of 2022.

In this regard, NIO said that the lower average selling price was mainly due to the higher proportion of ET5 and 75kWh standard battery pack deliveries, which was partially offset by the increase in deliveries.

This is the same as the explanation given by NIO in the 2023 second quarter report mentioned earlier.

It can be seen through public information that the price of ET5 75kWh is about 298,000 yuan, while the price of the 100kWh version is about 356,000 yuan, and the price difference between the two is about 60,000 yuan. Although the first and second quarter results did not disclose the specific model sales ratio, the increase in the proportion of low-priced car deliveries brought more than just the decline in car sales.

In the face of the Hong Kong stock market that values delivery volume, NIO sold a large number of low-priced and low-battery models in the first quarter, resulting in gross profit being swallowed up, which is similar to "drinking poison to quench thirst". However, in the second quarter, in addition to the above reasons, the sales of used cars with lower gross margins also increased.

As a result, NIO’s overall gross profit margin fell from 1.5% in the first quarter to 1% in the second quarter, and in 2022, its gross profit margin in the first and second quarters can still be maintained at 14.6% and 13%, which shows that the "side effect" of low-priced models is really obvious.

What needs to be added is that the gross margin of the NIO business alone actually increased by 1.1 percentage points in the second quarter of 2023 due to the decrease in the promotion of the previous generation ES8, ES6 and EC6 models. However, compared with the same period in 2022, the gross margin decreased by more than 10 percentage points due to the previously mentioned product portfolio changes.

It is worth noting that while NIO’s revenue decreased, losses expanded, and overall gross profit margin decreased, investment did not contract. Data show that NIO’s sales, general and administrative expenses in the second quarter of this year were 2.857 billion yuan, which was higher than Li Auto and XPeng Motors 550 million yuan and 1.30 billion yuan respectively.

On the other hand, NIO’s operating expenses are also rising, of which R & D expenses reached 3.345 billion yuan in the second quarter, an increase of 55.6% year-on-year, mainly due to the increase in R & D personnel costs, equity incentive expenses, and new product and new technology design and development.

The poor performance has made the NIO dual shares equally "unfavorable" in the capital markets. In the August list of auto stocks counted by Auto K Line, both NIO dual shares fell from the "red list" in July to the "green list" in August, with a decline of 32.88% (US stocks) and 27.93% (Hong Kong stocks), ranking second and fifth from the bottom of the August total list respectively.

Although the performance and stock price are not satisfactory, NIO is still optimistic. In the third quarter of 2023, NIO expects to deliver 55,000-57,000 new cars, an increase of 74% -80.3% compared with the same quarter in 2022; the revenue guidance is 18.898 billion yuan-19.50 billion yuan, an increase of 45.3% -50.1% year-on-year. Comparing the year-on-year growth rate of deliveries and revenue, it is not difficult to find that in the third quarter, NIO may still be difficult to get out of the whirlpool of gross margin "autophagy".

3 Views ofAutosKline

Looking back at the first half of the year, NIO experienced a period of downturn.

Perhaps the release of the mid-size SUV EC6 on September 15 can help NIO start from "selling more cars" and achieve more profitability.

The victory and defeat of the first half of the year has become history, and a new round of battle between the three Wei Xiaoli families has begun. Li Bin, who has always believed in long-termism, when can NIO climb out of the vortex of "autophagy" of gross profit margins?

The text is original by [Car K Line], some pictures are sourced from the Internet, and the copyright belongs to the original author. The article of this number may not be reproduced without authorization, and violators will be investigated. At the same time, the content of the article does not constitute investment advice to anyone. The stock market is risky, and investment needs to be cautious.

Leo’s endorsement of seven pure electric SUVs, MEB factory quality assurance, SAIC Volkswagen ID6X is worth recommending.

 In recent years, the domestic automobile market has been diversified, new energy vehicles have risen, and consumers’ acceptance of electric vehicles has become higher and higher. As a representative of the joint venture brand, the seven-seat pure electric SUV, SAIC Volkswagen ID6X is manufactured by MEB factory. The 2023 ID6X also brings a new color of Galaxy Blue, and with the help of celebrity spokesperson Leo, it has strong strength. At present, there is a comprehensive discount of up to 50,000 yuan for car purchase, which can be said to be quite worth recommending. How about choosing Volkswagen ID6 for pure electric vehicles? Let’s take a closer look.

How about the Volkswagen pure electric vehicle ID6 — — Yanzhi modeling

The exterior design of SAIC Volkswagen ID6X is different from other models. The front face design of the whole vehicle is very full, with two LED light groups running through the shape of the light strip, and the lens headlights are eye-catching and quite recognizable. The front lip is clearly divided into upper and lower layers, and the lattice grille shape is embedded. Although it is a closed front face, it still creates a rich layering.

The shape of the rear of the car is also very brilliant, especially the expression of the taillights. When stepping on the brake pedal, the rear light group will present an "X" shape, which is a very novel lighting language expression. At the same time, in order to fit the layered design of the front face, the tail shape retains the gentle texture of the medium and large SUV, and still divides the paragraphs hierarchically to strengthen the visual impact.

How about the Volkswagen pure electric vehicle ID6 — — Cockpit design

The space of SAIC Volkswagen ID6X adopts a simple design style, without too much fancy treatment and need not be too fancy. With the prevalence of pragmatism, such a refreshing cockpit is rare. However, the large area of leather inside the car brings full high-grade texture, while the large suspended central control screen is matched with the small screen on the side, and the decoration of science and technology is also indispensable. The traditional bar is cancelled and the knob shift is adopted, which really adds a lot of storage space in the front row, which also helps drivers or passengers to better store items and alleviate the problem of space anxiety.

The flat-bottomed three-spoke steering wheel is the latest model of the Volkswagen family. The multi-function buttons are touch-controlled and embedded with a vibration motor. Every touch will bring clear and full feedback, ensuring that the driver can detect whether it is touched by mistake or whether the function is in place. Many people say that touch buttons are easy to touch by mistake, but SAIC Volkswagen ID6X has reserved enough space distance, and it is quite difficult to touch them by mistake.

How about the Volkswagen pure electric vehicle ID6 — — Performance level

In terms of battery life, SAIC Volkswagen ID6X provides various versions, including the entry-level pure version with 460km battery life, the four-wheel drive version with 555km battery life and the long battery life version with 617km battery life. The entry-level pure version of 460km is very cost-effective. Although the guide price is 259,800 yuan, there are very powerful discounts at present, and it is still very fragrant. Such a large seven-seat SUV, at this price, is still blessed by the popular brand, and it is really fragrant.

The 555km four-wheel drive version is for friends with performance requirements. If you want to feel the passion and driving pleasure, then this four-wheel drive version can bring full happiness while carrying family and friends, and it is also a good option. The long battery life version of 617km is the first choice range for most consumers. After all, it is very important to run for a long time, and the battery life of 617km can also meet the long-distance demand. If it is a city commute, it is quite convenient without too much charging anxiety.

Finally: How about the pure electric vehicle Volkswagen ID6? The comprehensive strength of this car is still quite outstanding, with a high degree of appearance recognition. The cockpit design is not fancy but very exquisite and practical. The battery life is up to 617KM, and now it has a comprehensive discount of up to 50,000 yuan. If you are choosing a pure electric medium and large SUV, you may wish to Get this Leo model, which will not let you down.