Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance
Lithium-ion batteries are an attractive power source in many scenarios. In some particular cases, including providing backup power for drones, frequency modulation, and powering electric tools, lithium-ion batteries are required to discharge at a high rate (2~20 C). In this work, we present a method...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/16/4833 |
| _version_ | 1827685340256665600 |
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| author | Shida Jiang Zhengxiang Song |
| author_facet | Shida Jiang Zhengxiang Song |
| author_sort | Shida Jiang |
| collection | DOAJ |
| description | Lithium-ion batteries are an attractive power source in many scenarios. In some particular cases, including providing backup power for drones, frequency modulation, and powering electric tools, lithium-ion batteries are required to discharge at a high rate (2~20 C). In this work, we present a method to estimate the state of health (SOH) of lithium-ion batteries with a high discharge rate using the battery’s impedance at three characteristic frequencies. Firstly, a battery model is used to fit the impedance spectrum of twelve LiFePO<sub>4</sub> batteries. Secondly, a basic estimation model is built to estimate the SOH of the batteries via the parameters of the battery model. The model is trained using the data of six batteries and is tested on another six. The RMS of relative error of the model is lower than 4.2% at 10 C and lower than 2.8% at 15 C, even when the low-frequency feature of the impedance spectrum is ignored. Thirdly, we adapt the basic model so that the SOH estimation can be performed only using the battery’s impedance at three characteristic frequencies without having to measure the entire impedance spectrum. The RMS of relative error of this adapted model at 10 C and 15 C is 3.11% and 4.25%, respectively. |
| first_indexed | 2024-03-10T08:51:23Z |
| format | Article |
| id | doaj.art-2886d8d6880b438fab5236235e66b810 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:51:23Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2886d8d6880b438fab5236235e66b8102023-11-22T07:28:03ZengMDPI AGEnergies1996-10732021-08-011416483310.3390/en14164833Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through ImpedanceShida Jiang0Zhengxiang Song1State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, ChinaLithium-ion batteries are an attractive power source in many scenarios. In some particular cases, including providing backup power for drones, frequency modulation, and powering electric tools, lithium-ion batteries are required to discharge at a high rate (2~20 C). In this work, we present a method to estimate the state of health (SOH) of lithium-ion batteries with a high discharge rate using the battery’s impedance at three characteristic frequencies. Firstly, a battery model is used to fit the impedance spectrum of twelve LiFePO<sub>4</sub> batteries. Secondly, a basic estimation model is built to estimate the SOH of the batteries via the parameters of the battery model. The model is trained using the data of six batteries and is tested on another six. The RMS of relative error of the model is lower than 4.2% at 10 C and lower than 2.8% at 15 C, even when the low-frequency feature of the impedance spectrum is ignored. Thirdly, we adapt the basic model so that the SOH estimation can be performed only using the battery’s impedance at three characteristic frequencies without having to measure the entire impedance spectrum. The RMS of relative error of this adapted model at 10 C and 15 C is 3.11% and 4.25%, respectively.https://www.mdpi.com/1996-1073/14/16/4833lithium-ion batterystate of healthelectrochemical impedance spectroscopyhigh-rate discharge |
| spellingShingle | Shida Jiang Zhengxiang Song Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance Energies lithium-ion battery state of health electrochemical impedance spectroscopy high-rate discharge |
| title | Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance |
| title_full | Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance |
| title_fullStr | Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance |
| title_full_unstemmed | Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance |
| title_short | Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance |
| title_sort | estimating the state of health of lithium ion batteries with a high discharge rate through impedance |
| topic | lithium-ion battery state of health electrochemical impedance spectroscopy high-rate discharge |
| url | https://www.mdpi.com/1996-1073/14/16/4833 |
| work_keys_str_mv | AT shidajiang estimatingthestateofhealthoflithiumionbatterieswithahighdischargeratethroughimpedance AT zhengxiangsong estimatingthestateofhealthoflithiumionbatterieswithahighdischargeratethroughimpedance |