Analysing vibration environment of a power battery in a running electric vehicle

2021 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Ruixue Liu ◽  
Zhichao Hou ◽  
Shuyu Wang ◽  
Deke Sheng
2011 ◽  
Vol 138-139 ◽  
pp. 718-722
Author(s):  
Chang Xian Cheng ◽  
Jian Hua Yan

The electricity changing models for the energy supply of electric vehicles are described and introduced. A more suitable method of fast replacing battery of electric vehicles is found and the practical method and process of quickly replacing battery are focused as a major topic. The changing equipment used is studied and described while the efficiency of electrical changing equipments is discussed. The reserve number of batteries in power charging plant and the number of vehicles that each quickly changing device could service are studied and derived.


2014 ◽  
Vol 494-495 ◽  
pp. 238-241
Author(s):  
Zhe Ci Tang ◽  
Chun Lin Guo

Electric vehicle power battery is one of the key technologies for electric vehicle charging and discharging. This paper summarized the characteristics of lithium iron phosphate battery firstly, then adopted intermittent discharge method to get the battery OCV-SOC curve under experimental tests, determined the parameters of OCV-SOC models, analyzed the advantages and disadvantages of commonly used cell performance model, finally built electric vehicle battery charging model.


2013 ◽  
Vol 303-306 ◽  
pp. 975-978
Author(s):  
Hong Yu Zheng ◽  
Chang Fu Zong

The power battery state of charge (SOC) in electric vehicles is not easy to measure accurately or apply a sensor but the expense is increased. However the variable of SOC is great importance to control of electric vehicles. A power battery model is built by the Partnership for a New Generation of Vehicles (PNGV) model to estimate the state of SOC. In order to make a high accurate estimate for SOC value, an information fusion algorithm based on unscented kalman filter (UKF) is introduced to design an observer. The test results show that the observer based information fusion and UKF are effective and accuracy, so it is may apply it the electric vehicle control and observation.


2019 ◽  
Vol 437 ◽  
pp. 226911 ◽  
Author(s):  
Dengyue Ji ◽  
Liduo Chen ◽  
Tianyi Ma ◽  
Jing Wang ◽  
Shiqiang Liu ◽  
...  

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