Development of Robust State of Charge Estimation Algorithms for Lithium-ion Batteries in Electric Vehicles

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dc.contributor.authorSethia, Gautam
dc.date.accessioned2023-08-04T13:00:34Z
dc.date.accessioned2023-10-20T07:27:12Z
dc.date.available2023-08-04T13:00:34Z
dc.date.available2023-10-20T07:27:12Z
dc.date.issued2022
dc.descriptionSupervisors: Majhi, Somanath and Nayak, Sisir Kumaren_US
dc.description.abstractWith increasing innovation and environmental awareness, electric vehicles (EVs) are becoming more popular than the conventional fuel based vehicles for emission-free future transportation. Lithium-ion battery (LIB) is the most suitable choice of energy storage system that works as the core of an EV. Along with the battery, a micro-controller known as battery management system (BMS) is required for reliable and secure operation of the battery. In BMS, real-time access to the information of one of the most critical battery states, known as state of charge (SOC), is vital as it indicates the remaining capacity of the battery, helps to prevent overcharging and undercharging, increases capacity utilization and lifespan, improves reliability, reduces cost, and ensures safety of the battery and its surroundings. Being an internal state, SOC is not available for direct measurement by any sensor and estimating it accurately for an LIB is non-trivial due to the highly nonlinear nature of the battery and various uncertain operating conditions. The literature reports several different approaches to estimate SOC of an LIB with each having its own advantages and drawbacks. It is important to note that each method of SOC estimation in literature possess some drawbacks either in accuracy or in real-time implementation. Hence, there is a scope for further improvement of these methods to enhance the performance of SOC estimation.en_US
dc.identifier.otherROLL NO.146102041
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2439
dc.language.isoenen_US
dc.relation.ispartofseriesTH-2829;
dc.subjectLithium-ion Batteryen_US
dc.subjectElectric Vehicleen_US
dc.subjectState of Charge Estimationen_US
dc.subjectSliding Mode Observeren_US
dc.subjectRelay Feedbacken_US
dc.subjectRecursive Least Square Approachen_US
dc.subjectSystem Identificationen_US
dc.titleDevelopment of Robust State of Charge Estimation Algorithms for Lithium-ion Batteries in Electric Vehiclesen_US
dc.typeThesisen_US
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PhD Theses (Electronics and Electrical Engineering)