Li-ion Battery Management System Research Articles

Design of Li-Ion Battery Management System Based on Atmega16

Due to the negative effect of li-ion battery monomer inconsistent performance in electric bicycle, a low-cost intelligent li-ion BMS (battery management system) is designed based on atmega16. Multi-channel analog switch and differential amplifier are used for multi-channel data acquisition, and the equalization circuit is used for the balance of each single cell. The results show that the design can realize the intelligent management of li-ion battery.

A Li-ion Battery Management System Based on MCU and OZ8920

A management system based on MCU and OZ8920 chip for Li-ion battery series has been developed in this paper. It is successful in solving the defects in design of OZ8920 chip cascade and accomplishing I2C bus communication between MCU and OZ8920 chip. It has several significant functions in this design, which is combined with 16 series connected cells, such as charge and discharge protection, single cell voltage and temperature monitoring, cell pack balance, etc.

The Design of Smart Battery Management Systems

Aiming to the defect of expandability and reliability of Li-Ion battery of protection circuit , the multi-section series connection Li-ion battery management system was designed based on X3100 chip. The hardware and software design of the system was elaborated. The system can realize the measure, management and auto-protection for various parameters and complete the calculation for tens of command parameters and realize the data exchange with HOST by SMBus. Applications show that the system is characterized by simple structure, perfect function and stable and reliable operation and can be used in the smart battery model of laptop computer, Electric bicycle and other portable equipments.

Intelligent Li Ion Battery Management Based on a Digital Signal Processor for a Moving Actuator Total Artificial Heart

An intelligent Li Ion battery management (ILBM) system was developed based on a digital signal processor (DSP). Instead of using relatively complicated hardware charging control, a DSP algorithm was used, and favorable characteristics in volume, mass, and temperature increase of the implantable battery were achieved. In vitro tests were performed to evaluate the DSP based algorithm for Li Ion charging control (24 V dc motor input power 16 W, 5 L/min, 100 mmHg afterload). In this article, the first improvement was volume reduction using a Li Ion battery (3.6 V/Cell, 900 mA, seven cells: 25.2 V, 22.7 W). Its volume and mass were decreased by 40% and 50% respectively (40*55*75 mm, 189 g), compared to previously reported results, with total energy capacity increased by 110% (more than 60 min vs 25 min run time in the other battery). The second improvement includes the ILBM, which can control the performance detection for each unit cell and has a low temperature rise. The ILBM's unit cell energy detection was important because the low performance of one cell dropped to 50% of the total performance along with a 20% increase in surface temperature. All electronics for a transcutaneous energy transmission (TET), battery, and telemetry were finalized for hybridization and used for total artificial heat (TAH) implantation.