电压
电池(电)
功率(物理)
整流器(神经网络)
最大功率转移定理
电气工程
积分ADC
降压升压变换器
升压变换器
电子工程
计算机科学
工程类
物理
随机神经网络
量子力学
机器学习
循环神经网络
人工神经网络
作者
Junyi Huang,Hua Han,Guo Xu,Zhengmei Lu,Qinjie Ouyang,Xin Li,N. Li,Mei Su
出处
期刊:IEEE Transactions on Transportation Electrification
日期:2023-01-01
卷期号:: 1-1
标识
DOI:10.1109/tte.2023.3339307
摘要
This paper proposes a bidirectional single-stage resonant converter with the center-aligned midpoint voltages modulation (CMVM) method for the series battery formation power supply system to meet the tight requirements of output voltage variation from zero to maximum battery voltage, bidirectional power transfer and high output current. The proposed converter consists of two series resonant converter (SRC) submodules with input-series-output-parallel (ISOP) structure to reduce the device stress under the condition of high voltage input and low voltage high current output. With the proposed CMVM method, ultra-wide output voltage range can be achieved in this converter with fixed switching frequency. Moreover, the driving logics under bidirectional operation are identical, and thus automatic and smooth bidirectional power transfer can be achieved to improve the dynamic performance of battery charging and discharging mode switching. In addition, ZCS without synchronous rectifier (SR) control can be achieved for the secondary side switches, which reduces the control complexity and the switching loss caused by high output current. The performance of the proposed converter is verified by the experiment based on a 12-kW prototype with 720-880V input and 0-60V, 200A output.
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