Title
Application of dynamic cell resistance for determination of state of charge
Document Type
Conference Proceeding
Publication Date
7-21-2014
Publication Title
2014 IEEE Transportation Electrification Conference and Expo: Components, Systems, and Power Electronics - From Technology to Business and Public Policy, ITEC 2014
Abstract
Li-ion batteries have found an ever-increasing role in automotive, space and marine industries, and safety aspects became a top priority, particularly for large size batteries. Therefore, there has been an increasing need for accurate and reliable monitoring of the battery in real-Time. The battery is a dynamic system and its parameters are changing with time. They are also very dependent on the operation history of the battery. Hence, the impact of aging needs to be effectively addressed within any monitoring scheme. This work tries to bring a new dimension to battery monitoring by introducing the Dynamic Cell Resistance where it is closely related to battery cycling history and the state of charge of the battery. This parameter is modeled versus state of charge using a Group Method of Data Handling (GMDH) neural network.
DOI
10.1109/itec.2014.6861814
ISBN
9781479922628
Recommended Citation
Foad Samadi, M.; Abbas Nazri, G.; and Saif, Mehrdad. (2014). Application of dynamic cell resistance for determination of state of charge. 2014 IEEE Transportation Electrification Conference and Expo: Components, Systems, and Power Electronics - From Technology to Business and Public Policy, ITEC 2014.
https://scholar.uwindsor.ca/electricalengpub/315