Prediction of Remaining Useful Life of Lithium-Ion Battery Packs of Autonomous Vehicle with Incremental LSTM Neural Networks
Author:
Affiliation:
1. University of Waterloo, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3674746.3674797
Reference19 articles.
1. Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism
2. George Bird and Maxim E Polivoda. 2021. Backpropagation Through Time For Networks With Long-Term Dependencies. arXiv preprint arXiv:2103.15589 (2021).
3. Parameter estimation with improved model prediction for over-parametrized nonlinear systems
4. Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles
5. Prediction Model and Principle of End-of-Life Threshold for Lithium Ion Batteries Based on Open Circuit Voltage Drifts
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