Energy loss analysis of industrial and commercial energy storage cabinet battery pack: reducing waste and improving operational efficiency

Introduction:

In the wave of energy transition and sustainable development, energy storage technology plays an increasingly important role in regulating energy supply and demand balance and improving energy utilization efficiency, with its obvious advantages, and has become an important key element in the industrial and commercial fields. As the core component of energy storage systems, the performance of energy storage cabinets is directly related to the control of electricity costs, improvement of operational efficiency, and the intelligent process of energy management in enterprises. However, in practical applications, the energy loss of energy storage cabinet battery packs is often placed in a secondary position, which not only weakens the overall efficiency of the system, but also invisibly increases the operational cost burden of enterprises.

The root causes of energy loss are diverse, including the consumption of internal resistance in batteries, the loss of thermal energy, efficiency degradation during charging and discharging processes, and internal inconsistencies in battery packs. These factors collectively lead to energy waste and may accelerate the aging process of batteries, posing a threat to the long-term stable operation of energy storage systems. Therefore, how to accurately analyze the causes of energy loss and take practical and effective measures to reduce it has become the key to improving operational efficiency and achieving sustainable development for enterprises.

In this context, the Acrel-2000ES energy storage management system (EMS) from Ankerui has emerged, tailored specifically for industrial and commercial energy storage scenarios. As a management platform that integrates intelligence and efficiency, Acrel-2000ES provides powerful functions such as precise monitoring of real-time data, in-depth analysis of energy loss, and intelligent scheduling control to help enterprises comprehensively and deeply grasp the operating status of energy storage systems, optimize energy management strategies, minimize energy loss, and achieve significant improvement in operational efficiency.

1 The main source of energy loss

Internal resistance loss of battery: During the charging and discharging cycles of the battery, its internal resistance inevitably consumes a portion of energy, resulting in a decrease in overall efficiency. This type of loss is closely related to the composition materials, working environment temperature, and service life of the battery, and interacts with each other;

Heat loss phenomenon: During battery operation, especially when in a high rate charging and discharging state, significant heat is generated, leading to a significant increase in heat loss. If there are defects in the heat dissipation design, it will undoubtedly further amplify the unnecessary loss of energy and exacerbate waste;

Analysis of charging and discharging efficiency losses: The charging and discharging efficiency of batteries rarely reaches 100%, and is generally maintained within the range of 90% to 95%. The unused energy is mostly lost in the form of thermal energy and other intangible forms;

Discussion on Inconsistent Loss of Battery Pack: The performance differences between individual cells within a battery pack often lead to overcharging or overdischarging of some cells, which not only damages battery health but also directly increases the energy loss of the entire battery pack;

Analysis of Management System Losses: Energy management systems in energy storage cabinets, such as BMS (Battery Management System), also consume a small amount of electricity during their daily operation. Although this part of the loss may seem insignificant, it accumulates over time and should not be underestimated.

II Energy Management Plan for Energy Storage CabinetThe core function of

Real time data monitoring：The system can collect key data such as voltage, current, temperature, SOC (State of Charge), SOH (State of Health) of the battery pack in real time, helping enterprises comprehensively grasp the operating status of the energy storage system；

Energy loss analysis：Through in-depth analysis of charge and discharge data, the system can accurately identify the sources of energy loss and provide visual reports to help enterprises formulate optimization strategies；

Intelligent scheduling and control：Based on electricity demand and price fluctuations, the system can automatically optimize charging and discharging strategies, reduce operation during high loss periods, and improve overall efficiency；

Fault warning and diagnosis：The system has a powerful fault warning function, which can detect abnormalities in the battery pack in advance (such as overcharging, overdischarging, high temperature, etc.), avoiding energy loss caused by faults；

Battery Balance Management：Through advanced battery balancing technology, the system can ensure consistent performance of individual cells in the battery pack, reducing energy loss caused by inconsistency.

III Energy storage cabinet energy management systemHow to reduce energy loss

Accurate monitoring of internal resistance loss upgrade:The system has the ability to monitor changes in battery internal resistance in real time, accurately identify batteries with high internal resistance, and promptly remind enterprises to replace or maintain them, thereby effectively reducing energy loss caused by internal resistance；

Intelligent optimization of heat dissipation management:Relying on continuous monitoring of battery temperature, the system can flexibly adjust the working mode of the heat dissipation device to ensure that the battery always operates within the ideal temperature range, greatly reducing the occurrence of heat loss；

Optimization and improvement of charging and discharging efficiency:The system deeply integrates the inherent characteristics of the battery with the actual electricity demand, carefully optimizes the charging and discharging curve, cleverly avoids high rate charging and discharging scenarios, and greatly improves the overall efficiency of charging and discharging；

Significant reduction in inconsistency loss:With the powerful function of battery balancing management, the system can automatically balance the charging and discharging status of the battery pack, ensuring highly uniform performance of each individual battery and significantly reducing energy loss caused by performance differences；

Significant reduction in management system losses:The system adopts advanced low-power design concepts and effectively reduces unnecessary operational overhead through intelligent task scheduling strategies, thereby further reducing the energy consumption of the management system itself；

4 Future Development Trends of Energy Storage Technology

With the rapid development of technology, the Acrel-2000ES system of Ankerui will deeply integrate artificial intelligence and big data technology, achieving precise upgrading of energy loss analysis and intelligent leap in scheduling control. With the help of advanced machine learning algorithms, the system is able to predict battery aging trends proactively, plan maintenance strategies proactively, and further reduce energy loss to the lowest possible level.

The energy loss analysis of industrial and commercial energy storage cabinet battery packs is undoubtedly a key link in improving operational efficiency. Relying on the powerful functions of the Acrel-2000ES energy storage management system from Ankerui, enterprises can accurately identify the source of losses, optimize operational strategies, significantly reduce unnecessary energy consumption, and achieve a tangible reduction in operating costs. Looking ahead to the future, with the continuous evolution of technology, the efficiency of energy storage systems will surely usher in a new leap, creating more considerable value for industrial and commercial users.

5 Recommended related supporting products

Energy storage energy management systemImplement data collection and monitoring of energy storage devices, statistical analysis, abnormal alarms, optimization control, data forwarding, etc; Strategic control: planning curve, demand control, peak shaving and valley filling, backup power supply, etc.

Touchscreen computerUndertake system software and visually display system operation information.

Exchange measurement metersIntegrate power parameters and energy measurement and assessment management, provide various types of energy data statistics. It has harmonic and total harmonic content detection, with switch input and switch output to achieve "remote signaling" and "remote control" functions, and has alarm output. Equipped with RS485 communication interface, MODBUS-RTU or DL/T645 protocol can be selected.

DC meterThe meter can measure voltage, current, power, and forward and reverse electrical energy in a DC system; Equipped with infrared communication interface and RS-485 communication interface, supporting both Modbus RTU protocol and DLT645 protocol; It can be equipped with relay alarm output and switch input functions.

Temperature online monitoring deviceSuitable for measuring and controlling multiple temperatures, supporting the measurement of multi-channel temperatures; Each channel temperature measurement corresponds to 2 alarm segments, and the relay output can be set to any alarm direction and value.

Communication Management UnitCapable of collecting and summarizing data from devices such as water meters, gas meters, electricity meters, and microcomputer protection terminals according to different collection protocols; It provides multiple functions such as protocol conversion, transparent forwarding, data encryption and compression, data conversion, edge computing, etc; Real time multitasking parallel processing of data collection and forwarding, capable of delivering platform data over multiple links.

serial port serverFunction: Convert the status data of the "auxiliary system" and provide feedback to the energy management system. 1) Air conditioning switch, temperature control, and power-off (achieved through secondary switch); 2) Upload various air switch signals of the distribution cabinet; 3) Upload UPS internal power information, etc; 4) Connect to devices such as electricity meters and BSMU.

Remote signaling moduleProvide feedback on the status of each device and transmit relevant data to the serial server; Read the fire 1/0 signal and forward it to the upper layer (shutdown, event reporting, etc.); Collect water immersion sensor information and forward it to the upper layer (water immersion signal event reporting); Read the sensor information of the access control process and forward it to the upper layer (access control event reporting).

VI Introduction

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