SI2300BDS-T1-GE3

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Manufacturer: Vishay

Product Category: MOSFET

RoHS: Details

Technology: Si

Installation style: SMD/SMT

Package/Case: SOT-23-3

Transistor Polarity: N-Channel

Number of channels: 1 Channel

Vds-drain-source breakdown voltage: 60 V

Id-Continuous Drain Current: 2.3 A

Rds On-Drain Source On Resistance: 156 mOhms

Vgs - Gate-Source Voltage: 10 V

Vgs th - gate-source threshold voltage: 1 V

Qg-gate charge: 6.8 nC

Minimum operating temperature: - 55 C

Maximum operating temperature: + 150 C

Pd-Power Dissipation: 1.66 W

Channel Mode: Enhancement

Brand Name: TrenchFET

Package: Cut Tape

Package: MouseReel

Package: Reel

Configuration: Single

Series: SI2

Transistor Type: 1 N-Channel

Trademark: Vishay Semiconductors

Forward Transconductance - Min: 5 S

Fall Time: 7 ns

Product Type: MOSFET

Rise time: 10 ns

Factory Packing Quantity: 3000

Subcategory: MOSFETs

Typical turn-off delay time: 10 ns

Typical turn-on delay time: 4 ns

Part number alias: SI2308BDS-GE3

"Intelligent network connection" has become the "best route" for China to boost the local auto industry in the current context.

Although the industry's response to autonomous driving and the Internet of Vehicles is not as enthusiastic as in previous years, it has not dampened the enthusiasm of mainstream car players for the tireless exploration of intelligent and connected technology and commercialization. According to the 2018 and 2019 Autonomous Driving Disengagement Report released by the U.S. Vehicle Administration, there is only one company that has taken over 10,000 kilometers on average in 2018, but by 2019, five companies have taken over 10,000 kilometers on average. , the number one company is already close to 30,000 kilometers. At the same time, among the top 10 autonomous driving companies in the world, there are 5 companies with Chinese-funded background. From this comparison, it is clear that the global autonomous driving technology is progressing rapidly, and the leading players are constantly increasing resources, while Chinese companies are This wave plays an increasingly critical role.

To be sure, this is inseparable from continued domestic support at the policy level. From 2015 to 2020, the state has successively issued a number of policies to elevate the development of the ICV industry to the national strategic level, focusing on the refinement of ICVs to autonomous vehicles; especially at the beginning of this year, the state has successively introduced Two programs, "Intelligent Vehicle Innovation and Development Strategy" and "Automotive Driving Automation Classification", have further clarified the strategic position and future direction of autonomous driving.

With the frequent development of the policy level, major urban areas are also seizing the wave of industrial transformation, actively promoting autonomous driving, and landing mobile travel services. According to the reporter's information, by the end of 2019, more than 50 demonstration bases of intelligent networked vehicles have been built in China, and more than 40 enterprises have obtained autonomous driving licenses issued by local governments. However, at present, most of these projects are mainly based on road testing and demonstration operations, and only through testing and demonstration to improve the accumulation of enterprise technology, there are few projects that actually achieve commercialization. Among them, there are not only the problem of technical route selection, but also the problem of unclear application scenarios and business models.

Bicycle Intelligence Or Vehicle-Road Collaboration: Who Will Dominate the Smart Connected Market?

At the "Cloud Summit of the World Artificial Intelligence Conference 2020", Lai Jie, deputy director of intelligent driving of SAIC Commercial Vehicle Technology Center, said: "First of all, at the technical level, it mainly focuses on the choice of two development routes, bicycle intelligence and vehicle-road coordination. At present, the industry has reached a consensus that vehicle-road collaboration will be the ultimate choice for intelligent driving for a long time. However, at this stage, both bicycle intelligence and vehicle-road collaboration have certain technical pain points in the actual operation process, which need to be further improved and improved. ."

For example, bicycle intelligence technology has bottlenecks in reliability, sensing range, and bicycle cost. At the same time, the construction of bicycle intelligence and smart city is in a state of separation, which cannot be integrated into the smart transportation and smart city system, and does not meet the overall requirements of the government to improve vehicle safety supervision. This is why China chooses to regard vehicle-road coordination as the leading plan for the current implementation of intelligent network planning. After all, vehicle-road coordination not only helps to achieve a higher level of autonomous driving, but also conforms to the general direction of my country's transportation power. Compared with bicycle intelligence, vehicle-road collaboration increases the deployment of road-side and cloud, which can effectively reduce the cost and technical difficulty of bicycles.

However, the current vehicle-road collaboration also has its pain points. Lai Jie pointed out: "For example, the vehicle-road collaboration technology currently only stays at the theoretical framework level in the industry, and has not formed a unified standard and specific implementation plan. The related supporting infrastructure for vehicle-road collaboration. It is not perfect enough, and it is difficult to form a mature vehicle-road coordination system; moreover, the vehicle-road coordination system is still facing legal responsibility and ethical issues, and there is no unified consensus in the industry. At this stage, the formulation of standards is mostly related to testing and demonstration. , and is not complete, the data transmission scheme and protocol of vehicle-road coordination, communication hardware, equipment standard system, road test equipment system, etc., have not yet been unified, and the restrictions on the right of way for autonomous vehicles still need the government at the legislative level. breakthrough."

Moreover, from the perspective of software and hardware technology, the current perception of smart cars is mainly based on the multi-sensor fusion of cameras, lidars and millimeter-wave radars, and the perception towards "camera + imaging millimeter-wave radar + V2X" is also It will take a certain amount of time; at the same time, in-vehicle AI chips need at least 300TOPS of computing power to meet the commercialization needs of autonomous driving. At present, domestic hardware can only provide 60TOPS of computing power, and only samples have not been mass-produced. At the software algorithm level, it is also concentrated on the vehicle end for perception, decision-making and control. In the future, the transition to cloud and edge computing is still to be done. "

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Main products: ESD electrostatic diodes, TVS diodes, battery charging and management power supplies, MOS tubes, LDO low-power voltage regulators.

Company: Hong Kong Xinrui Electronics Co., Ltd.

Contact: Miss Yao

Mobile: 13725590222

Tel: 0755-83780666/83265111

Fax: 0755-82800889

QQ: 3373563833

Address: 26B, Block B, Huaqiang Plaza, Futian North Road, Futian District, Shenzhen

Company website: www.xrdz-hk.com

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Company: Hong Kong Xinrui Electronics Co., Ltd.

Contact: Miss Yao

Mobile: 13725590222

Tel: 0755-83780666/83265111

Fax: 0755-82800889

QQ: 3373563833

Address: 26B, Block B, Huaqiang Plaza, Futian North Road, Futian District, Shenzhen

Company website: www.xrdz-hk.com