The unique new solution with the most efficient and reliable battery monitoring system contains a combination of a 18 -unit monitor and a balance IC and a microcontroller to the SPI from the isolation interface. Multi -unit battery stack monitor can measure up to 18 series of battery cells, with a total measurement error of less than 2.2 MV. 0 V to 5 V battery measurement is suitable for most battery chemical applications. All 18 battery units can be measured within 290 μs, and lower data collection rate can be selected to reduce noise. Multiple stack monitoring devices can be connected in order to monitor high -voltage battery string at the same time. Each stack monitor has an ISOSPI interface for high -speed, RF antifiers, and long -distance communication. Multiple devices are connected in the form of chrysanthemum chain and connect to a host processor for all devices. The chrysanthemum chain can be operated in two -way, and even if the communication path is wrong, it can ensure the integrity of communication. The battery stack can be powered directly to the IC, or it can also use the isolation power supply to power it. IC has passive balance and individual PWM duty control function for each battery unit. Other features include a 5 V registered device, 9 universal I/O lines, and sleep mode (in this mode, the power consumption is reduced to 6 μA). C

BMS applications have short -term and long -term accuracy requirements, so the use of embedded Zina conversion benchmark voltage sources instead of band -based voltage sources. This can provide stable low drift (20 PPM/√khr), low temperature coefficient (3 ppm/° C), low lag (20 PPM) original edge voltage benchmark source and excellent long -term stability. This accuracy and stability are critical. It is the basis for the measurement of all subsequent battery cells. These errors will have accumulated impact on the credibility, algorithm consistency and system performance of the data obtained.

Although the high -precision benchmark voltage source is a necessary function to ensure excellent performance, it is not enough. The modulus converter architecture and its operation must meet the requirements of the electrical noise environment. This is the result of the pulse width modulation (PWM) transient characteristics of the system large current/voltage inverter. To accurately evaluate the charging status and working status of the battery also requires related voltage, current and temperature measurement.

The stack monitoring converter uses the 控-? Topping structure to reduce the noise before the systemic noise affects BMS performance. The topology is assisted by the filter options of six users to solve the noise environment. By converting the natural characteristics of multiple samples each time, and using the average filtering function, the ∑-• method reduces the effects of electromagnetic interference (EMI) and other transient noise.

In any system that uses large battery packs arranged as a battery unit or module group, the battery balance is inevitable, such as a large energy storage unit for power grids and power grids for hospital microscopes. Although most lithium batteries are well matched at the first time, they will lose capacity with aging. The aging process of different batteries may be different due to various factors, such as the temperature gradient of the battery pack. What exacerbates this entire process is that the battery unit that exceeds the SOC upper limit will be prematurely aging and loses additional capacity. These capacity differences and minor differences between self -discharge and load current can cause battery imbalance.

In order to solve the problem of battery imbalance, the stack monitor IC directly supports passive balance (using the timer set by the user). Passive balance is a simple and low -cost method for standardization of all batteries during the battery charging cycle. By removing charge from a lower -capacity battery, passive balance can ensure that these lower capacity batteries will not be over -charged. IC can also be used to control active balance. This is a more complicated balance technology that transmits charge between batteries through charging or discharge cycles.

Whether it is active or passive methods, battery balance depends on high measurement accuracy. As the measurement error is getting larger and larger, the operation and protection level established by the system must also increase, so the effectiveness of the balance performance will be limited. In addition, the sensitivity of these errors has also increased due to the limitation of the SOC range. The total measurement error of less than 1.2 MV is within the system -level requirements of the battery monitoring system.

In the energy storage system, to connect all battery units, the communication ring circuit is essential. The loop transmits data from system batteries to cloud -based energy management algorithms. The algorithm tracks charging and discharge events to determine the best way to make full use of the battery, or maintain the maximum capacity battery with the highest capacity of the battery.