scholarly journals Battery voltage and state of power prediction based on an improved novel polarization voltage model

2020 ◽  
Vol 6 ◽  
pp. 2299-2308
Author(s):  
Peng Lin ◽  
Peng Jin ◽  
Jichao Hong ◽  
Zhenpo Wang
IEEE Access ◽  
2020 ◽  
pp. 1-1
Author(s):  
Peng Lin ◽  
Zhenpo Wang ◽  
Peng Jin ◽  
Jichao Hong

2021 ◽  
Vol 2068 (1) ◽  
pp. 012024
Author(s):  
Yan Zhong ◽  
Qing Yang ◽  
Yanzhong Zhang

Abstract Solar photovoltaic cells will be an effective supplement to electric vehicle batteries. In order to make the photovoltaic system of the solar car provide reliable power, this paper models the photovoltaic cell and designs the maximum power point (MPP) tracking algorithm based on three-point sampling with a fixed voltage. In addition, considering that the output power will change when the voltage and radiation intensity change under the peak power of the solar vehicle, the prediction of the peak output power of the photovoltaic array considering the influence of the radiation intensity and battery voltage is put forward for the first time. Experiments show that the designed power algorithm runs stably, and the power generation power prediction error is less than 1%. The peak output power prediction of the photovoltaic array takes into account the effects of real-time radiation intensity and battery voltage fluctuations, making the peak power prediction of the vehicle more accurate.


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