A Model Predictive Control System for a Hybrid Battery-Ultracapacitor Power Source

By Branislav Hredzak, Vassilios G. Agelidis, Minsoo Jang. IEEE transactions on power electronics, 2014

412 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/ea8a3a87f77c08513ea0900c9636d2a09bf9eadb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Peng Wang
2. Mahesh Kumar Mishra
3. Srirama Srinivas
4. Narsa Reddy Tummuru

In Electronic, Optical and Magnetic Materials

1. Mahesh Kumar Mishra
2. C. Wen
3. Srirama Srinivas
4. Narsa Reddy Tummuru

Citations in the corpus

• A Decentralized Dynamic Power Sharing Strategy for Hybrid Energy Storage System in Autonomous DC Microgrid (2017, methodology): “A model predictive control approach is proposed in [15] to allocate fast and slow current changes to SC and battery, respectively.”
• Dynamic Energy Management of Renewable Grid Integrated Hybrid Energy Storage System (2015, methodology): “Moreover, it provides comparableperformancewith the work reported in [12].”