Optimization of Sizing and Battery Cycle Life in Battery/Ultracapacitor Hybrid Energy Storage Systems for Electric Vehicle Applications

By Junyi Shen, Serkan Dusmez, Alireza Khaligh. IEEE Transactions on Industrial Informatics, 2014

386 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/641af5a3739e3c36075a702880f2d750ea7d0621

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. David A. Howey
2. Christoph R. Birkl
3. Michael A. Osborne
4. Robert R. Richardson
5. Widanalage Dhammika Widanage
6. Xiaosong Hu
7. Kailong Liu

In Electrical and Electronic Engineering

1. David A. Howey
2. Christoph R. Birkl
3. Daryoush Habibi
4. Michael A. Osborne
5. Robert R. Richardson
6. Widanalage Dhammika Widanage
7. Xiaosong Hu
8. Kailong Liu

Citations in the corpus

• Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (2017, background): “Battery capacity estimates are also an essential input for optimal battery sizing algorithms, for applications such as microgrids [3] and hybrid energy storage systems [4].”
• Smart Charging Strategy for Electric Vehicle Charging Stations (2018, background): “Although PEVs are considered to be an important part of the next generation smart grid system [6], their market penetration is still relatively low and faces a number of challenges.”
• Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges (2018, neutral): “This HESS technology improves the extension of life cycle up to 75% through peak shaving and related thermal burden reaction [159].”