Digital battery energy exchange system

Abstract

The invention discloses a digital battery energy exchange system, which comprises a battery energy network card, a battery energy concentrator, a battery energy switch and a battery energy cloud platform. The system realizes the physical and chemical characteristics of the control and management system relatively independent from the battery by using the multi-level and fine-grained battery energyflow discretization digital processing and control, and dynamically adjusts the series-parallel combination between the battery cells to realize rapid distribution-type on-demand deployment; the system supports the battery energy exchange mechanism, shields the physical and chemical differences of battery cells, realizes the digitization and virtualization of the battery energy storage system, and effectively improves the flexibility and reliability of power storage and power supply.

Description

technical field [0001] The present invention relates to the field of digital energy management and control of battery packs, in particular to a device and method for supporting intelligent and cost-effective digital energy management and control of differentiated battery cells and battery modules, specifically a digital battery energy exchange system. Background technique [0002] Mobile battery energy storage systems are usually composed of multiple small-capacity single batteries connected in series and parallel. Considering the safety, reliability and manageability of the battery energy storage system, how to manage the large-capacity battery system composed of large-scale small-capacity single batteries is currently a recognized technical problem in the industry. First of all, there are unavoidable inconsistencies between battery cells, such as the parameters of different battery cells in terms of capacity, internal resistance, self-discharge characteristics, and temper...

AI Technical Summary

Problems solved by technology

First of all, there are unavoidable inconsistencies between battery cells, such as the parameters of different battery cells in terms of capacity, internal resistance, self-discharge characteristics, and temperature characteristics. It is also difficult to achieve consistent parameters, and the inconsistency problem is more prominent for battery cells from different manufacturers;

[0003] Secondly, in order to meet the required current, voltage or power requirements, the single cells are directly grouped in a fixed series and parallel form, and this rigid grouping method that has been used for more than 200 years will easily lead to short board problems in the system;

[0004] Third, accurate estimation of battery state of charge (SOC) is the key to effective battery management, and SOC is affected by many factors such as temperature, voltage, current, aging degree and individual differences, and SOC is related to these There is a nonlinear relationship between factors, making it difficult to measure and estimate accurately

[0006] 1. The problem of battery cell differences cannot be completely solved;

[0007] 2. Unable to quickly isolate the faulty single battery;

[0008] 3. Since the battery is used for backup power supply and is idle for a long time, it is impossible to truly and effectively realize the efficient utilization of battery assets and flexible participation in peak and valley electricity price supply and electricity storage scheduling;

[0009] 4. Traditional battery energy storage systems require regular manual maintenance, with high failure rates and high maintenance costs

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