Deep Learning Based Electric Vehicle BMS Intelligent Cloud Monitoring System

Author:

Li Xueguang1,Dumlao Menchita F1

Affiliation:

1. Angeles University Foundation, Philippines

Publisher

ACM

Reference17 articles.

1. Schmid , M., H.-G. Kneidinger , and C. Endisch , Data-Driven Fault Diagnosis in Battery Systems Through Cross-Cell Monitoring. IEEE Sensors Journal , 202 1. 21(2): p. 1829 - 1837 . Schmid, M., H.-G. Kneidinger, and C. Endisch, Data-Driven Fault Diagnosis in Battery Systems Through Cross-Cell Monitoring. IEEE Sensors Journal, 2021. 21(2): p. 1829-1837.

2. Shrivastava , P. , , Battery State of Charge Estimation Using Adaptive Extended Kalman Filter for Electric Vehicle application , in 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). 2020 . p. 2202 - 2207 . Shrivastava, P., , Battery State of Charge Estimation Using Adaptive Extended Kalman Filter for Electric Vehicle application, in 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). 2020. p. 2202-2207.

3. Kim , T. , , Cloud-Based Battery Condition Monitoring and Fault Diagnosis Platform for Large-Scale Lithium-Ion Battery Energy Storage Systems. Energies , 2018 . 11(1). Kim, T., , Cloud-Based Battery Condition Monitoring and Fault Diagnosis Platform for Large-Scale Lithium-Ion Battery Energy Storage Systems. Energies, 2018. 11(1).

4. Shrivastava , P. , , Combined State of Charge and State of Energy Estimation of Lithium-Ion Battery Using Dual Forgetting Factor-Based Adaptive Extended Kalman Filter for Electric Vehicle Applications. IEEE Transactions on Vehicular Technology , 202 1. 70(2): p. 1200 - 1215 . Shrivastava, P., , Combined State of Charge and State of Energy Estimation of Lithium-Ion Battery Using Dual Forgetting Factor-Based Adaptive Extended Kalman Filter for Electric Vehicle Applications. IEEE Transactions on Vehicular Technology, 2021. 70(2): p. 1200-1215.

5. Valinejadshoubi , M. , , Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings . Sustainable Cities and Society , 2021 . 66. Valinejadshoubi, M., , Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings. Sustainable Cities and Society, 2021. 66.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lithium Battery SOC Estimation Based on Multi-Head Attention Mechanism and GRU Algorithm;Academic Journal of Science and Technology;2023-08-11

2. SOC Prediction for Lithium Battery Via LSTM-Attention-R Algorithm;Frontiers in Computing and Intelligent Systems;2023-07-20

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