In the tide of energy transition, energy storage technology has become key to promoting the use of renewable energy and achieving energy independence. Will you be eager to check the status of energy storage system when you have just installed it in your home? How much electricity has my battery saved, how much power is left, and how long can it last? The high-precision management technology of the BMS (Battery Management System) allows you to always stay informed about your battery's power, electricity savings, and service life.
The BMS is the brain of the energy storage system, playing a crucial role in ensuring the system's safety, stability, and smooth operation.
As a direct indication of the remaining battery power, the accuracy of SOC (State of Charge) estimation determines the accuracy of BMS in monitoring battery status. It is the foundation for BMS to flexibly optimize charging and discharging strategies, improve system performance and benefits, and ensure the safe operation of energy storage systems, directly affecting the performance, safety, and economy of energy storage systems. Ineffective management of cell SOC inconsistencies can lead to a decline in overall battery performance and increase the risk of failure; incorrect SOC estimation may reduce battery life and operating time because inaccurate power calculations can lead to over-discharging or overcharging; if the BMS cannot effectively prevent and control thermal runaway of the battery, it may cause serious safety accidents. Therefore, the precision of the BMS is crucial for ensuring battery performance, safety, and extending battery life.
Hinen's Battery Management System (BMS), through its high-precision management technology, allows you to stay updated on the status of your home energy storage system, ensuring battery performance, safety, and economy.
1.High-Accuracy Sampling Data
For high-precision battery management, the accuracy of sampling data from individual cells is crucial. One of the fundamental functions of BMS is to monitor the physical parameters of the battery, including voltage, current, and temperature, and to regulate the overall energy of the battery based on these parameters and the battery's status, maximizing energy utilization efficiency. Therefore, ensuring the accuracy, reliability, and integrity of individual cell sampling data is a prerequisite for BMS to monitor battery status and achieve high-precision management.
The cells in the Hinen B7700M-H high voltage stackable battery pack are all laser welded in series, avoiding contact resistance from bolting processes, significantly improving the accuracy of voltage sampling. The B7700M-H energy storage system deploys a temperature sampling point for each individual cell, achieving real-time full-coverage temperature detection of the battery, enabling the battery management system to have more precise cell-wide thermal management and predictive protection for thermal runaway events. Additionally, the BMS uses automotive-grade AFE chips, which monitor the battery pack's voltage, current, and temperature through built-in acquisition modules, pre-processing the collected analog signals to improve signal-to-noise ratio and accuracy; automotive-grade AFE chips significantly enhance the reliability and precision of individual cell voltage sampling (deviation within ±3mv), providing a reliable basis for BMS control.
2.High-Precision Data Processing Technology
In addition to the high accuracy of sampling data, high-precision battery management also depends on high-precision data processing technology. Currently, the status of the energy storage industry is promoting energy storage systems towards the development of high-voltage DC, high power, high current, deep cycling, multi-cell, and variable environments, bringing the need for massive data processing and complex control. Therefore, the energy storage industry has put forward higher requirements for BMS and its algorithms. Through high-precision SOC estimation, energy storage BMS can accurately control the depth of charging and discharging, minimizing battery aging speed and benefiting the health and life of the energy storage system. In terms of system efficiency and performance, accurate SOC data enables BMS to more effectively manage the battery charging and discharging process, optimize cell consistency, and ensure that the energy storage system operates smoothly within the optimal working range, with higher energy efficiency, greater safety, and reliability, while reducing excessive maintenance and unnecessary testing of the battery, reducing system maintenance costs.
Hinen's B7700M-H high-voltage stacking battery pack adopts two redundant designs of daisy chain and SPI communication to ensure stable and reliable real-time data communication. Moreover, Hinen uses industry-leading unscented Kalman algorithm to achieve high-precision, high-reliability battery SOC calculation and battery health SOH estimation, improving the accuracy of battery management and more accurately monitoring battery status, providing strong support for the safety and reliability of the battery.
Conclusion
Hinen's BMS boosts energy storage performance and safety while offering cost-effective, eco-friendly solutions. Utilizing cutting-edge tech for sampling, data processing, and communications, Hinen achieves precise battery monitoring and management, enhancing efficiency and longevity. Committed to innovation, Hinen is at the forefront of battery management, aiding the shift to a greener, smarter energy future.
