Impact of Battery State of Charge on In-Situ Power Line Communication Within an Intelligent Electric Vehicle

Koshkouei, Mahyar J.; Kampert, Erik; Moore, Andrew D.; Higgins, Matthew D.

doi:10.1109/itsc55140.2022.9921800

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Other1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management

Li,

Hu,

Yang

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

View full text Add to dashboard Cite

Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management

Li,

Hu,

Yang

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

View full text Add to dashboard Cite

Impact of Lithium-Ion Battery State of Charge on In Situ QAM-Based Power Line Communication

Koshkouei¹,

Kampert²,

Moore³

et al. 2022

Sensors

View full text Add to dashboard Cite

Power line communication within a lithium-ion battery allows for high fidelity sensor data to be transferred between sensor nodes of each instrumented cell within the battery pack to an external battery management system. In this paper, the changing characteristics of the lithium-ion cell at various states of charge are measured, analysed, and compared to understand their effectiveness on the communication channel of a power line communication system for carrier frequencies of 10 MHz to 6 GHz. Moreover, the use of quadrature amplitude modulation (QAM) is investigated to determine its effectiveness as a state-of-the-art modulation method for the same carrier frequency range. The overall results indicate that certain carrier frequencies and QAM orders may not be suitable for the in situ battery pack power line communication due to changes in battery impedance with certain lithium-ion cell states of charge, which cause an increase in error vector magnitude, bit error ratio, and symbol error ratio. Recommendations and trends on the impact of these changing characteristics based upon empirical results are also presented in this paper.

show abstract

Impact of Battery State of Charge on In-Situ Power Line Communication Within an Intelligent Electric Vehicle

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 2 publications

References 12 publications

Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management

Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management

Impact of Lithium-Ion Battery State of Charge on In Situ QAM-Based Power Line Communication

Contact Info

Product

Resources

About