Abstract
A low-cost programmable high-frequency alternating current (AC) electronic load for battery module diagnosis which possesses energy recycling and portability is proposed. The proposed AC electronic load consists of a micro-controller, a signal capturing circuit, and a resonant circuit, and can be integrated with a human–machine interface (HMI). To diagnose the dynamic characteristics of a lithium battery module, the proposed AC electronic load is served as a test load for providing a wide-range slew-rate loading function. In this study, the extracted energy from the tested battery module during the diagnostic process can be recycled to save energy. In addition, all of the battery module parameters and test conditions can be preset in the HMI, and the battery characteristics and the recycling rate of the electrical energy also can be estimated. Analysis of operation modes and simulations and some experimental results are used to verify the theoretical predictions.
Highlights
Due to energy waste and environmental damage, global warming is becoming more and more serious
The MCU is the control core of the system which can output the corresponding PWM signal to drive the modified class E resonant circuit according to the test conditions, where the test conditions are preset in the human–machine interface (HMI)
A high-frequency alternating current (AC) electronic load for lithium battery module tests based on the sinusoidal loading technique has been designed and implemented
Summary
Due to energy waste and environmental damage, global warming is becoming more and more serious. The electrical energy extracted from the tested battery is converted into alternating current (AC) form and returns to the power grid by connecting with an inverter [25]. This system is much more expensive and complicated. It has been recognized that in order to obtain dynamic characteristics for calculating the SOC/SOH of a power battery and to recycle the extracted electrical energy from a tested power battery, a programmable AC electronic load is essential to emulate a variety of dynamic load behaviors, and sequence control is required [27,28,29,30]. The estimation of SOC/SOH is based on the method previously mentioned [26] to obtain an accurate valuation
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