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能链智电(NAAS.US)CEO王阳:专注自动驾驶补能,AI算法助力交通能源供需精准匹配

Wang Yang, CEO of Nenglian ZhiDian (NAAS.US): Focus on automatic driving energy replenishment, AI algorithms help accurately match traffic energy supply and demand.

Zhitong Finance ·  Sep 14 15:46

Nengyuanhangye Smart Power (NASDAQ: NAAS) founder and CEO Wang Yang attended the China International Fair for Trade in Services (referred to as the Service Trade Fair) and delivered a speech.

According to the Zhixun Finance APP, on September 13, at the 2024 China International Fair for Trade in Services (referred to as the Service Trade Fair), the "UAE-Beijing Economic Forum" jointly organized by the Embassy of the United Arab Emirates in China, Beijing CCPIT, and Chaoyang District Government was held. Nengyuanhangye Smart Power (NAAS.US) founder and CEO Wang Yang attended and delivered a speech. She stated that China's 3 trillion yuan transportation energy consumption market is accelerating the transition from oil to electricity. It is expected that the number of gasoline vehicles will peak in 2025, and by 2035, the number of electric vehicles is expected to surpass gasoline vehicles, with the two intersecting. This is also the most certain opportunity in the next 10 years.

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Nengyuanhangye Smart Power founder and CEO Wang Yang

Currently, China is the country with the largest automobile ownership and sales volume in the world. It also recently surged to become the largest exporter of automobiles globally. In 2023, the total retail sales of consumer goods in China exceeded 47 trillion yuan. The transportation energy consumption market, including fueling and charging, is an easily overlooked hidden giant, second only to automobiles. It exceeds categories such as dining, clothing & footwear, and electronics. The transition from gasoline vehicles to electric vehicles in the transportation energy's new energy transformation is irreversible. On one hand, it reduces the external dependence on energy consumption; on the other hand, China's transportation carbon emissions account for more than 10%, and this proportion will continue to grow. Green development is an inevitable trend.

Wang Yang stated that China's traditional energy industry, especially the low level of digitalization at gas stations, results in inefficient industry chain turnover. In 2016, Nengyuanhangye entered the digital energy field, starting with energy supply services for urban distribution logistics vehicles, taxis, and other commercial vehicles. By the end of 2023, Nengyuanhangye had accumulated 400 million registered users, with over 100 million trading users and an annual order volume exceeding 500 million transactions. It has pre-installed refueling and charging services in vehicles from BYD, GAC, FAW-Volkswagen, Changan, Wuling, Great Wall, Hyundai, Geely, Jit, NIO, Zhiji, and others, covering 80% of domestic OEM car machines and building a nationwide integrated oil and electricity digital network.

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The "UAE-Beijing Economic Forum" of the trade fair "UAE-Beijing Economic Forum" is now on site.

Currently, the monthly sales penetration rate of domestic electric vehicles has exceeded 50%, but the overall inventory ratio has just exceeded 7%. Compared with fuel vehicles, the pressure of future transportation energy supply and demand matching will become greater. In the first half of this year, the proportion of charging volume from electric vehicles in the total social electricity consumption exceeded 1.1% for the first time, which will have a certain impact on the power grid. If we consider the instability of upstream new energy generation such as photovoltaics and wind energy, as well as the highlighting of distributed bidirectional characteristics such as light storage and charging, microgrid configuration, and vehicle-grid interaction, how to use AI algorithms to guide the matching of the entire energy system has become a topic of global concern.

"Starting in 2016, NEF (NAAS Energy Fintech) system launched by Nenglian Zhidian, based on artificial intelligence algorithm, has realized the comprehensive intelligence of site selection, revenue evaluation, operation scheduling and operation and maintenance of charging stations." Regarding the value brought by AI, Wang Yang also gave some more vivid examples, such as the scenes and locations suitable for the construction of charging piles, the intelligent matching between vehicles and charging stations, gas stations, whether charging stations are suitable for the construction of storage devices, and the formulation of operation strategy for light storage and charging, all of which are answered by AI algorithms.

Looking further ahead, with the advent of the era of autonomous driving, charging infrastructure will evolve towards the stage of Auto Power intelligent energy supplementation. Wang Yang revealed that Nenglian will continue to focus on automatic driving energy supplementation, expand the cooperation eco-system of new energy industry, embed refueling and charging services into the central control screen of smart cars, and enable car owners to automatically and intelligently match refueling stations and charging stations, truly achieving higher efficiency and lower delivery costs.

The translation is provided by third-party software.


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