Electric vehicles represent a mainstream trend for addressing energy, environmental, and urban transportation issues, and are a crucial direction for the future development of the automotive industry. In the cost structure of pure electric vehicles, the electric drive system accounts for over 50% of the total vehicle cost. Lithium-ion batteries are a key component, hence the saying "whoever controls lithium controls the market." Adhesives are a core factor in ensuring the stable, efficient, durable, and safe operation of the electric drive system.
In recent years, electric bicycles, hybrid vehicles, electric cars, and fuel cell vehicles powered by lithium-ion batteries have received increasing market attention. The application of lithium-ion batteries in the transportation sector is of great significance for reducing greenhouse gas emissions, alleviating air pollution, and promoting the development of new energy sources. Lithium-ion batteries, with their advantages of high energy density, high cycle life, light weight, and environmental friendliness, are gaining increasing attention. They are already widely used in portable handheld devices such as mobile phones, laptops, and power tools, and are beginning to enter high-power applications such as electric vehicles, becoming a global hotspot in electric vehicle development.
As a core component for battery protection and management, the BMS (Battery Management System) not only ensures the safe and reliable use of the battery, but also fully utilizes its capabilities and extends its lifespan. Serving as a bridge between the battery, vehicle management system, and driver, the BMS plays an increasingly crucial role in the performance of electric vehicles.
The BMS (Brain Management System) is closely integrated with the power lithium battery of electric vehicles. It continuously monitors the battery's voltage, current, and temperature, while also performing leakage detection, thermal management, battery balancing management, alarm reminders, calculating remaining capacity and discharge power, reporting SOC and SOH status, and using algorithms to control the maximum output power based on the battery's voltage, current, and temperature to achieve the maximum driving range. It also uses algorithms to control the charger to charge at the optimal current. It communicates in real time with the vehicle's main controller, motor controller, energy control system, and vehicle display system through the CAN bus interface.
