Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles
The increasing oil price, energy demand, and environmental concern are leading to a global switch towards Plug-In Hybrid Electric Vehicles (PHEVs). In a PHEV, Li-ion battery is considered as the primary propelling source. Therefore, an accurate battery model is required to predict the I-V characteri...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/2353521 |
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| author | Aishwarya Panday Hari Om Bansal Pramod Srinivasan |
| author_facet | Aishwarya Panday Hari Om Bansal Pramod Srinivasan |
| author_sort | Aishwarya Panday |
| collection | DOAJ |
| description | The increasing oil price, energy demand, and environmental concern are leading to a global switch towards Plug-In Hybrid Electric Vehicles (PHEVs). In a PHEV, Li-ion battery is considered as the primary propelling source. Therefore, an accurate battery model is required to predict the I-V characteristic and dynamic behavior of a battery. This paper presents a highly effective thermoelectric model of Li-ion battery developed in Simulink. An algorithm is proposed for estimation of state of charge (SOC) and open circuit voltage (OCV) adaptively to notify the exact SOC level for better utilization of battery power and optimal vehicle performance. Thermal behavior of Li-ion battery is investigated for wide temperature range and its effect on resistance, capacity, and OCV is recorded. The minimum SOC level to which battery can get depleted is calculated using gradient method. The proposed simulation results are analyzed with those of earlier models and found to be better. |
| format | Article |
| id | doaj-art-ed38307f64d14d30b7acc7f7f64f00ca |
| institution | DOAJ |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-ed38307f64d14d30b7acc7f7f64f00ca2025-08-20T03:21:12ZengWileyModelling and Simulation in Engineering1687-55911687-56052016-01-01201610.1155/2016/23535212353521Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric VehiclesAishwarya Panday0Hari Om Bansal1Pramod Srinivasan2Electrical and Electronics Engineering Department, B.I.T.S. Pilani, Jhunjhunu, Rajasthan 333031, IndiaElectrical and Electronics Engineering Department, B.I.T.S. Pilani, Jhunjhunu, Rajasthan 333031, IndiaElectrical and Electronics Engineering Department, B.I.T.S. Pilani, Jhunjhunu, Rajasthan 333031, IndiaThe increasing oil price, energy demand, and environmental concern are leading to a global switch towards Plug-In Hybrid Electric Vehicles (PHEVs). In a PHEV, Li-ion battery is considered as the primary propelling source. Therefore, an accurate battery model is required to predict the I-V characteristic and dynamic behavior of a battery. This paper presents a highly effective thermoelectric model of Li-ion battery developed in Simulink. An algorithm is proposed for estimation of state of charge (SOC) and open circuit voltage (OCV) adaptively to notify the exact SOC level for better utilization of battery power and optimal vehicle performance. Thermal behavior of Li-ion battery is investigated for wide temperature range and its effect on resistance, capacity, and OCV is recorded. The minimum SOC level to which battery can get depleted is calculated using gradient method. The proposed simulation results are analyzed with those of earlier models and found to be better.http://dx.doi.org/10.1155/2016/2353521 |
| spellingShingle | Aishwarya Panday Hari Om Bansal Pramod Srinivasan Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles Modelling and Simulation in Engineering |
| title | Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles |
| title_full | Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles |
| title_fullStr | Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles |
| title_full_unstemmed | Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles |
| title_short | Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles |
| title_sort | thermoelectric modeling and online soc estimation of li ion battery for plug in hybrid electric vehicles |
| url | http://dx.doi.org/10.1155/2016/2353521 |
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