Loss Model and Optimization Method for Switched-Capacitor Divider for POL Application

Author(s):  
Owen Jong ◽  
Qiang Li ◽  
Fred C. Lee ◽  
Brian Carpenter
2020 ◽  
Vol 64 (4) ◽  
pp. 382-391
Author(s):  
Sivaraj Desingu ◽  
Arounassalame Mouttou

In Solar panel and UPS, high gain DC-DC converters are commonly used. In grid connected inverter specifications, the batteries and solar panel voltage level are low. The use of multiple series related DC batteries and PV panels directly connected to the inverter, it simplifies the process, but the expense is high, and efficiency is low. A high-gain Quadratic Boost Switched Capacitor Converter is proposed in this paper. The high step up voltage gain is achieved by adding the voltage multiplier topology in the conventional quadratic boost converter with the correct duty ratio. The fractional order controller is implemented, and it’s tuned by genetic algorithm optimization method for improving the performance of the proposed converter. Its characteristics are low energy processing, robustness and balanced voltage of cells. The performed that include the proposal and existing solutions, the theoretical results are verified from MATLAB/SIMULINK toolbox.


2020 ◽  
Author(s):  
Bo Zhao ◽  
Chao Zheng ◽  
Xinxin Ren ◽  
Jianrong Dai

Distance estimation methods arise in many applications, such as indoor positioning and Covid-19 contact tracing. The received signal strength indicator (RSSI) is favored in distance estimation. However, the accuracy is not satisfactory due to the signal fluctuation. Besides, the RSSI-only method has a large ranging error because it uses fixed parameters of the path loss model. Here, we propose an optimization method combining RSSI and pedestrian dead reckoning (PDR) data to estimate the distance between smart devices. The PDR may provide the high accuracy of walking distance and direction, which is used to compensate for the effects of interference on the RSSI. Moreover, the parameters of the path loss model are optimized to dynamically fit to the complex electromagnetic environment. The proposed method is evaluated in outdoor and indoor <a>environments</a> and is also compared with the RSSI-only method. The results show that the mean absolute error is reduced up to 0.51 m and 1.02 m, with the improvement of 10.60% and 64.55% for outdoor and indoor environments, respectively, in comparison with the RSSI-only method. Consequently, the proposed optimization method has better accuracy of distance estimation than the RSSI-only method, and its feasibility is demonstrated through real-world evaluations.


2020 ◽  
Author(s):  
Bo Zhao ◽  
Chao Zheng ◽  
Xinxin Ren ◽  
Jianrong Dai

Distance estimation methods arise in many applications, such as indoor positioning and Covid-19 contact tracing. The received signal strength indicator (RSSI) is favored in distance estimation. However, the accuracy is not satisfactory due to the signal fluctuation. Besides, the RSSI-only method has a large ranging error because it uses fixed parameters of the path loss model. Here, we propose an optimization method combining RSSI and pedestrian dead reckoning (PDR) data to estimate the distance between smart devices. The PDR may provide the high accuracy of walking distance and direction, which is used to compensate for the effects of interference on the RSSI. Moreover, the parameters of the path loss model are optimized to dynamically fit to the complex electromagnetic environment. The proposed method is evaluated in outdoor and indoor <a>environments</a> and is also compared with the RSSI-only method. The results show that the mean absolute error is reduced up to 0.51 m and 1.02 m, with the improvement of 10.60% and 64.55% for outdoor and indoor environments, respectively, in comparison with the RSSI-only method. Consequently, the proposed optimization method has better accuracy of distance estimation than the RSSI-only method, and its feasibility is demonstrated through real-world evaluations.


2015 ◽  
Vol 24 (04) ◽  
pp. 1550051 ◽  
Author(s):  
Yintang Yang ◽  
Yingbo Zhao ◽  
Gang Dong

This paper presents a multi-output on-chip switched-capacitor (SC) DC–DC converter simultaneously providing two output voltages (2VDD/3 and VDD/3, in addition to the available full VDD) that enables the use of three different power modes for optimizing system power/performance trade-offs: super-threshold (full VDD), near-threshold (2VDD/3) and sub-threshold (VDD/3). Unlike some previously proposed multi-output SC converters, the multiple conversion ratios of the proposed converter are achieved without changing the topology of the circuit, thus fewer components being needed to support multiple voltages. The paper also presents an optimization method by using unequal flying capacitors for different regions of the circuit by taking advantage of the different levels of expected power consumption in the various power modes. Above 84% and 70% efficiencies are obtained in simulation over a range of load currents from 0.4 to 5 mA, and from 0.4 to 1 mA, with conversion ratios of 2/3 and 1/3, respectively. The target application for the proposed converter is for circuits with discrete power modes and for systems that use dithering to emulate a continuous range of voltages such as the panoptic dynamic voltage scaling (PDVS).


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