A BATTERY MANAGEMENT SYSTEM WITH FAST CHARGING STRATEGIES AND STATE OF CHARGE ESTIMATION BASED ON QUANTUM NEURAL NETWORK FOR LEADACID BATTERIES
Electric vehicles and portable devices use batteries as a portable power source. Moreover, a battery as a storage device plays an important role in providing stable power, especially for operating with renewable energy sources. Therefore, it is very important to design an appropriate battery managem...
Main Authors: | , Kevin Gausultan H.M, , Dr. Eng. F. Danang Wijaya, ST., MT. |
---|---|
Format: | Thesis |
Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
|
Subjects: |
Similar Items
-
State of charge estimation for rechargeable batteries
by: Chen, Can.
Published: (2013) -
State Of Charge Estimation Of Battery Management System
by: Afiq Anwar, Akmal
Published: (2022) -
Metaheuristic approach for optimizing neural networks parameters in battery state of charge estimation
by: Zuriani, Mustaffa, et al.
Published: (2023) -
Lithium-ion battery modeling and state-of-charge estimation
by: Tjandra, Rudy
Published: (2017) -
Estimation of state of charge (SoC) in rechargeable batteries
by: Yuan, Yalin.
Published: (2012)