Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks

By Jorge Moreno, Micah Ortuzar, Juan W. Dixon. IEEE transactions on industrial electronics (1982. Print), 2006

728 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/c126fe6c20661840dfb6cf4ab9c762dcf6fe4668

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In Automotive Engineering

In Electronic, Optical and Magnetic Materials

Citations in the corpus

Overview of Power Management Strategies of Hybrid AC/DC Microgrid (2015, background): “The current and power of dc bus can be controlled by access-oriented storage [80]–[83], capacityoriented storage [84], or other DGs, which are connected to dc”
Optimizing for Efficiency or Battery Life in a Battery/Supercapacitor Electric Vehicle (2012, methodology): “An EV was constructed at the Catholic University of Chile, [5]–[7] using lead–acid batteries connected to a pack of supercapacitors with a single half-bridge converter.”
Ultracapacitor-Based Auxiliary Energy System for an Electric Vehicle: Implementation and Evaluation (2007, background): “It obtains from a neural network (NN) the learned value of the most efficient current from the AES at all times [17].”
Stability Issues of $Z + Z$ Type Cascade System in Hybrid Energy Storage System (HESS) (2014, background): “For example, the voltage reference of SC is regulated as vehicle speed changes to meet the requirements of accelerating or braking [14], [15].”
Control Strategy of Fuel Cell and Supercapacitors Association for a Distributed Generation System (2007, methodology): “This paper deals with the conception and the achievement of a voltage-regulated dc hybrid power source using a PEMFC as the main energy source, and supercapacitors as the auxiliary power source, as proposed in Fig.”
Power-Electronics-Based Solutions for Plug-in Hybrid Electric Vehicle Energy Storage and Management Systems (2010, neutral): “As aforementioned, for transferring energy from each source to the dc link, a step-up mode of operation is used, while for charging both the UC bank and battery storage system and for recovering braking energy, the step-down operation is used [4]–[6].”
Computer-Aided Design and Optimization of Hybrid Energy Storage Systems (2013, neutral): “Neural networks may be used to decide the power distribution between the battery and supercapacitors [88, 89] (Fig.”
A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “In future smart grids, the proliferation of energy storage (such as rechargeable batteries and PHEVs) will be expected as one of the promising means of efficiently utilizing electricity and reducing the reliance on fossil fuels [53]–[58].”
Features, Design Tools, and Application Domains of FPGAs (2007, neutral): “mation [8], [9] and sensorless motor drive control [10], [11], neural networks and fuzzy logic [12], [13], or, more recently, wearable computing [14]) that rely on the use of microcon-”