Lithium ion battery management system based on CAN bus

Source: 2020 - 04 - 12 hits strikes: times of lithium ion battery management system based on CAN bus abstract: according to different types, different capacity and capacity of lithium ion battery, lithium ion battery management system is designed. The system based on single chip microcomputer, CAN bus communication, distributed network control system structure, the work parameters of the battery are real-time detection; According to the battery status, battery balance, fault diagnosis and alarm; Through the man-machine interface on the system parameters calibration; By reading the information stored in the history of off-line analysis, improved the SOC estimation method to reduce the cost of failure analysis. Test results show that the system is stable and reliable, can be applied to different model. Voltage measurement precision & plusmn; 5 mv, SOC accuracy is 7%. As the main energy storage component of electric vehicle batteries, are key components in electric cars, a direct impact on the performance of electric vehicles. Lithium iron phosphate power battery for its superior battery performance has become the mainstream in the new energy vehicles power source. Lithium ion power battery, which is the core of the new energy vehicles the most critical components, its charge and discharge performance, service life and reliability will directly affect the cost and performance of a car. In order to prolong the service life of the battery and reduce the cost, ensure the safety and reliability of the battery, this paper designs a set of lithium ion battery management system, realize the online detection of power battery, fault diagnosis and alarm, control and off-line analysis. Battery management system's main function is the real-time parameters such as voltage, current and temperature. To estimate the battery charging status, that is, SOC ( 的状态) Fees) ; The balance between monomer batteries; inconsistency Realize the communication between the various modules; Offline analysis information stored in the history; Applicable to different types of electric vehicles. The main research content framework is as follows: 1 the hardware design 1. 1 voltage temperature acquisition module design. 1 2 equalization circuit. Fault diagnosis and alarm 1 3. 4 anti-interference design software design 2. 1 the SOC estimate. 2 CAN bus and storage module 2. 3 parameters calibration procedures and system testing