A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations

2021 ◽  
Vol 40 ◽  
pp. 102583
Author(s):  
Bowen Li ◽  
Shunli Wang ◽  
Carlos Fernandez ◽  
Chunmei Yu ◽  
Lili Xia ◽  
...  
Keyword(s):  
Estimation Method ◽  
Power Estimation ◽  
State Of Charge ◽  
Fusion Model ◽  
State Of Power

A novel fusion model based online state of power estimation method for lithium-ion capacitor

2021 ◽  
Vol 36 ◽  
pp. 102387
Author(s):  
Wenxin Chen ◽  
Cheng Xu ◽  
Manlin Chen ◽  
Kai Jiang ◽  
Kangli Wang
Keyword(s):  
Estimation Method ◽  
Lithium Ion ◽  
Power Estimation ◽  
Fusion Model ◽  
Model Based ◽  
Lithium Ion Capacitor ◽  
State Of Power

scholarly journals An Improved State of Charge and State of Power Estimation Method Based on Genetic Particle Filter for Lithium-ion Batteries

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 478 ◽  
Author(s):  
Xingtao Liu ◽  
Chaoyi Zheng ◽  
Ji Wu ◽  
Jinhao Meng ◽  
Daniel-Ioan Stroe ◽  
...  
Keyword(s):  
Particle Filter ◽  
Lithium Ion Batteries ◽  
Estimation Method ◽  
Lithium Ion ◽  
Maximum Error ◽  
Open Circuit ◽  
The State ◽  
State Of Charge ◽  
Model Parameters ◽  
State Of Power

In this paper, an improved method for estimating the state of charge (SOC) of lithium-ion batteries is proposed, which is developed from the particle filter (PF). An improved genetic particle filter (GPF), owing to the advantages of the PF and genetic algorithm, is proposed to overcome the disadvantage of the traditional particle filter: lacking the diversity of particles. Firstly, the relationship between SOC and open-circuit voltage (OCV) is identified on the low-current OCV test. Secondly, a first-order resistor and capacitance (RC) model is established, then, the least-squares algorithm is used to identify the model parameters via the incremental current test. Thirdly, GPF and the improved GPF (IGPF) are proposed to solve the problems of the PF. The method based on the IGPF is proposed to estimate the state of power (SOP). Finally, IGPF, GPF, and PF are employed to estimate the SOC on the federal urban driving schedule (FUDS). The results show that compared with traditional PF, the errors of the IGPF are 20% lower, and compared with GPF, the maximum error of the IGPF has declined 1.6% SOC. The SOC that is estimated by the IGPF is applied to estimate the SOP for battery, considering the restrictions from the peak SOC, the voltage, and the instruction manual. The result shows that the method based on the IGPF can successfully estimate SOP.

scholarly journals Improved Coordinated Control Strategy for Hybrid STATCOM Using Required Reactive Power Estimation Method

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 84506-84515
Author(s):  
Sungyoon Song ◽  
Sungchul Hwang ◽  
Gilsoo Jang ◽  
Minhan Yoon
Keyword(s):  
Control Strategy ◽  
Reactive Power ◽  
Estimation Method ◽  
Coordinated Control ◽  
Power Estimation

scholarly journals Instruction Based Power Estimation Method in AURIX Micro controller

2021 ◽  
Vol 23 (06) ◽  
pp. 784-793
Author(s):  
Kiran Guruprasad Shetty P S ◽  
◽  
Dr. Ravish Aradhya H V ◽  
Keyword(s):  
Data Processing ◽  
Data Transfer ◽  
Estimation Method ◽  
Power Estimation ◽  
New Method ◽  
Abstraction Levels ◽  
Program Software

Power estimation is a very prominent aspect in micro controllers which aims to to be more efficient in terms of power. A new method of estimation of power based on the execution of instruction in AURIX, which is an automotive micro- controller is proposed. The main aim of this method is to estimate the power in perspective of program(software) or instruction level which is constantly processed in microprocessor which is more accurate when compared with the previous methodologies. The estimation is done based on some set of instructions which is used in AURIX for Data transfer/storing in to memories, Data processing and Data Execution for various application. Most of the previous methodologies are all not accurate due to the abstraction levels.

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