reviewIEEE AccessJan 1, 2019GOLD OA

State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review

Universiti Tenaga Nasional · National University of Malaysia

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Abstract

Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising features of high voltage, high energy density, low self-discharge and long lifecycles. The successful operation of EV is highly dependent on the operation of battery management system (BMS). State of charge (SOC) is one of the vital paraments of BMS which signifies the amount of charge left in a battery. A good estimation of SOC leads to long battery life and prevention of catastrophe from battery failure. Besides, an accurate and robust SOC estimation has great significance towards an efficient EV operation. However, SOC estimation is a complex process due to its dependency on various factors such as battery age,…

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754
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100%
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Authors

4

Topics & keywords

Keywords
  • State of charge
  • Lithium (medication)
  • Computer science
  • Estimation
  • Ion
  • State (computer science)
  • Data modeling
  • Charge (physics)
UN Sustainable Development Goals
  • Affordable and clean energy
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