Journal ArticleDOI
Neural network-based energy management of multi-source (battery/UC/FC) powered electric vehicle
About:
This article is published in International Journal of Energy Research.The article was published on 2020-12-01. It has received 24 citations till now. The article focuses on the topics: Electric vehicle & Battery (electricity).read more
Citations
More filters
Journal ArticleDOI
Intelligent MPPT for photovoltaic panels using a novel fuzzy logic and artificial neural networks based on evolutionary algorithms
Milad Fathi,Jafar Amiri Parian +1 more
TL;DR: Four intelligent methods have been applied for maximum power point tracking (MPPT) and it is specified that the creatively designed fuzzy system provides faster, more accurate, and more stable performance than the other methods.
Journal ArticleDOI
A new ANN model for hourly solar radiation and wind speed prediction: A case study over the north & south of the Arabian Peninsula
Bashar Shboul,Bashar Shboul,Ismail AL-Arfi,Stavros Michailos,Derek B. Ingham,Lin Ma,Kevin J. Hughes,Mohamed Pourkashanian +7 more
TL;DR: In this paper, a new technique based on the feed-forward back-propagation Artificial Neural Network (FBANN) model has been developed and used to predict both the hourly solar radiation and the wind speed simultaneously.
Journal ArticleDOI
Towards health-aware energy management strategies in fuel cell hybrid electric vehicles: A review
TL;DR: In this article , a taxonomy for the classification of energy management strategies based on their health-awareness is proposed based on which three categories of prognostic-based, diagnostic-based and systemic EMSs are formed.
Journal ArticleDOI
The Multi-Objective Optimization of Powertrain Design and Energy Management Strategy for Fuel Cell–Battery Electric Vehicle
Jiaming Zhou,Chunxiao Feng,Qingqing Su,Shangfeng Jiang,Zhixian Fan,Jiageng Ruan,Shikai Sun,Leli Hu +7 more
TL;DR: In this paper , a self-optimizing power matching strategy is proposed, considering the energy efficiency and battery degradation, via implementing a deep deterministic policy gradient, and less energy consumption and longer battery life can be expected in FC EV powertrain with optimal hybridization degree.
References
More filters
Journal ArticleDOI
Deep learning in neural networks
TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
Journal Article
Random search for hyper-parameter optimization
James Bergstra,Yoshua Bengio +1 more
TL;DR: This paper shows empirically and theoretically that randomly chosen trials are more efficient for hyper-parameter optimization than trials on a grid, and shows that random search is a natural baseline against which to judge progress in the development of adaptive (sequential) hyper- parameter optimization algorithms.
Journal ArticleDOI
Progress in supervised neural networks
Don R. Hush,Bill G. Horne +1 more
TL;DR: Theoretical results concerning the capabilities and limitations of various neural network models are summarized, and some of their extensions are discussed.
Book ChapterDOI
Deep Learning, Neural Networks
TL;DR: Deep learning is a special branch of machine learning using a collage of algorithms to model high-level data motifs using multiplier layers of nodes and many edges linking the nodes forming input/output (I/O) layered grids representing a multiscale processing network.
Journal ArticleDOI
Cycle-life model for graphite-LiFePO4 cells
John Wang,Ping Liu,Jocelyn Hicks-Garner,Elena Sherman,Souren Soukiazian,Mark W. Verbrugge,Harshad Tataria,James W. Musser,Peter Finamore +8 more
TL;DR: Experimental results indicated that the capacity loss was strongly affected by time and temperature, while the DOD effect was less important, and attempts in establishing a generalized battery life model that accounts for Ah throughput, C-rate, and temperature are discussed.