Abstract
The health and safety of lithium-ion batteries are closely related to internal parameters. The rapid development of electric vehicles has boosted the demand for online battery diagnosis. As the most potential automotive battery diagnostic technology, AC impedance spectroscopy needs to face the problems of complex test environment and high system cost. Here, we propose a DC impedance spectroscopy (DCIS) method to achieve low-cost and high-precision diagnosis of automotive power batteries. According to the resistance–capacitance structure time constant, this method can detect the battery electrolyte resistance, the solid electrolyte interphase resistance and the charge transfer resistance by controlling the pulse time of the DC resistance measurement. Unlike AC impedance spectroscopy, DCIS does not rely on frequency domain impedance to obtain battery parameters. It is a time-domain impedance spectroscopy method that measures internal resistance through a time function. Through theoretical analysis and experimental data, the effectiveness of the DCIS method in battery diagnosis is verified. According to the characteristics of DCIS, we further propose a fast diagnostic method for power batteries. The working condition test results show that this method can be used to diagnose online battery life and safety.
Highlights
We proposed a new battery parameter diagnosis method: DC impedance spectroscopy (DCIS)
According to the definition of electrochemical impedance spectroscopy (EIS), this diameter corresponds to Rct inside the battery. This shows that Rct can be used to inindicate thecapacity capacity change caused aging battery, which is consistent with dicate the change caused byby thethe aging of of thethe battery, which is consistent with the the results reported in a large number of documents diagram, we results reported in a large number of documents [4,5,23]
The results show that RSEI has a low correlation with battery aging, it can be used to indicate battery safety performance and is an important parameter for battery diagnosis
Summary
Environmental destruction and energy resource depletion are challenges faced by most countries in the world. In DCIS, we obtain the various resistances of the battery by changing the current pulse width according to the different time constant characteristics of the RC network. DCIS can use it to distinguish different internal parameters in the time domain In this method, a square wave pulse current I is used to discharge the battery. It is retained in the frequency domain through DCIS Through this item, DCIS can detect the pure ohmic resistance value in the battery model, which cannot be tested by the EIS method.
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