New lithium battery pack virtual power
CellMod™ is the first lithium-ion virtual battery capable of predicting cell and pack behavior, including thermal behavior, with an accuracy of better than 97 percent under a wide range of test conditions.
The virtual battery pack also includes a lumped thermal model to comprehensively describe the behaviors of the battery, including the electrical performance and the thermal variations [ 27 ]. The parameters of the electrical model are highly dependent on the temperature, and the electrical behavior of the battery generates heat.
The virtual battery is a power source that can simulate the charging and discharging characteristics of a battery pack under different operating conditions. Hence, the key step for a virtual battery pack to be able to replace the actual battery pack for the testing of a BMS is to establish an accurate model.
The developed lithium iron phosphate model features low computational efforts and is experimentally validated with different dynamical profiles, implying a high-precision virtual battery pack that is capable of reproducing the actual one.
In this paper, a virtual battery pack-based HIL platform is developed to achieve the fully automated testing and evaluation of the BMS state estimation algorithm. First, a lithium iron phosphate battery pack model connected in series is established. It is suitable for virtual batteries and relies on the Copula method.
CellMod™ is the first lithium-ion virtual battery capable of predicting cell and pack behavior, including thermal behavior, with an accuracy of better than 97 percent under a wide range of test conditions.
The paper analyzes the design practices for Li-ion battery packs employed in applications such as battery vehicles and similar energy storage systems. Twenty years ago, papers
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A virtual battery pack can be developed by combining the equivalent circuit model of the battery cell and the new battery pack parameters generated based on the copula method, as shown
The developed lithium iron phosphate model features low computational efforts and is experimentally validated with different dynamical profiles, implying a high-precision virtual battery
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