Shenzhen Winna Electronic Industrial Co., Ltd.

I. Innovation-driven High-precision Display Technology

Currently, automotive instruments are undergoing an upgrade from traditional analog gauges and LCD liquid crystal displays to full liquid crystal dashboards (TFT-LCD) and organic light-emitting diode displays (OLED). The full liquid crystal dashboard relies on high-performance graphics processing chips (GPU) and driver integrated circuits (DDI) to achieve a screen output with a resolution of 1920×720 or even higher, enabling the dynamic rendering of complex content such as vehicle information, navigation maps, and multimedia interfaces. For example, Texas Instruments' DLP (Digital Light Processing) technology is applied in some high-end models. Through a micro-mirror array, it realizes high-precision projection display, endowing the dashboard screen with high contrast and a wide color gamut. OLED displays, on the other hand, with their self-luminous characteristics, not only achieve an ultra-thin design but also bring faster response speed and lower power consumption. Their driving circuits rely on low-noise and high-stability power management chips to ensure the consistency and reliability of the display effect.

II. Multimodal Sensors Build a Data Perception Network

The intelligent upgrade of instruments cannot be separated from the coordination of sensors. The monitoring of vehicle operating status depends on the real-time data collection of various sensors: The vehicle speed sensor uses the Hall effect or magnetoresistive effect principle to convert the wheel speed signal into an electrical signal. After filtering out noise by the signal conditioning chip, the signal is transmitted to the instrument control unit. The engine speed sensor accurately captures the rotation frequency of the crankshaft or camshaft through electromagnetic induction or photoelectric effect. The pressure sensor integrates an MEMS (Micro-Electro-Mechanical System) chip to measure parameters such as tire pressure and oil pressure with high precision. The analog signals collected by these sensors need to be converted into digital signals through an ADC (Analog-to-Digital Converter), and then data fusion and processing are carried out by a microcontroller (MCU). Finally, the information is presented on the dashboard in a visual interface, providing drivers with comprehensive vehicle health diagnostic information.

III. Automotive-grade Chips Enable Intelligent Interaction Functions

The core control unit of instruments is an intelligent system built based on automotive-grade chips. Taking the automotive instrument ECU as an example, it internally integrates a high-performance MCU with an ARM architecture, such as NXP's S32K series chips, which have real-time multitasking processing capabilities and can simultaneously run multiple programs such as vehicle status monitoring, display control, and fault diagnosis. When an abnormality occurs in the vehicle, the chip quickly retrieves data from sub-modules such as the engine and braking system through the CAN (Controller Area Network) bus. After analysis by an AI algorithm, a red warning icon is triggered on the dashboard accompanied by a buzzer alarm. In addition, the introduction of touch interaction functions makes the instruments more convenient to operate. Capacitive touch sensors, combined with touch control chips, achieve accurate gesture recognition and menu operation, improving the efficiency of human-computer interaction.