1. Focus on the safety of energy storage batteries
From the design, integration, installation, operation, monitoring and other production and operation processes of large-scale energy storage batteries, full attention is paid to the safety of batteries.
The safety boundaries of different types of battery energy storage systems are proposed, and safety measures with sufficient reliability are designed for possible safety hazards such as battery overheating, deformation, combustion, electrolyte leakage, etc., so as to avoid the occurrence of safety production accidents.
2. Comprehensive management and control capabilities of battery energy storage systems
Considering the large number of energy storage units and the complexity of the network topology of large-scale/ultra-scale battery energy storage systems, a large-scale/ultra-scale battery energy storage power station optimization control is proposed, which combines centralized management of station domain and subsystem partition autonomy.
Fundamentally solve the contradiction between the differences between the energy storage units and the unity of application goals, and improve the comprehensive management and control capabilities of the energy storage products.
3. Reliable and stable operation of battery energy storage system
Effective use of big data, cloud computing, Internet of Things, artificial intelligence and other methods, taking into account historical and real-time operating data, to achieve real-time operating status diagnosis and analysis of battery energy storage systems, performance degradation and safety early warning, etc., to ensure large-scale centralized/distributed batteries The energy storage power station operates safely, stably and reliably.
4. Energy management and scientific control of different forms of battery energy storage systems
For the combined application scenarios of large-scale centralized/distributed hybrid battery storage power stations and centralized/distributed new energy power generation, consider various requirements such as intelligent operation scheduling, safety and stability control, life cycle management, multi-objective control management, and optimal operation efficiency.
A multi-objective collaborative optimization control method for battery energy storage power stations under different integrated architectures is proposed to solve the problems of energy management and scientific control of different forms of battery energy storage systems.
5. Optimal management of energy storage batteries
Considering that large-scale centralized/distributed battery energy storage systems may be mixed and integrated by different types and different life stages of battery energy storage units/echelon utilization power battery energy storage units.
Research and reveal the different characteristics of the state of health, performance attenuation, and charge-discharge rate of different types of energy storage units in the above-mentioned multi-type battery energy storage power stations, and analyze the charge and discharge characteristics of each energy storage battery unit after dynamic connection.
A dynamic, intelligent and differentiated charging and discharging control method for different types of battery energy storage systems is proposed to solve the problem of battery optimization management.
6. Research on the evaluation method of battery energy storage
From different levels such as battery energy storage module level, device level and system level, the charging and discharging characteristics, working condition applicability, safety and economic evaluation methods of different types of large-capacity battery energy storage technologies are studied.
Master the quantitative analysis and comprehensive evaluation methods of the economics of advanced large-capacity energy storage technology, and support the in-depth research and engineering application of battery energy storage technology.