Online management of lithium-ion battery based on time-triggered controller area network for fuel-cell hybrid vehicle applications |
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Authors: | Xiangjun Li Jianqiu Li Xuebing Han Languang Lu Chengtao Lin |
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Affiliation: | State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China |
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Abstract: | This paper introduces a state of charge (SOC) estimation algorithm that was implemented for an automotive lithium-ion battery system used in fuel-cell hybrid vehicles (FCHVs). The proposed online control strategy for the lithium-ion battery, based on the Ah current integration method and time-triggered controller area network (TTCAN), incorporates a signal filter and adaptive modifying concepts to estimate the Li2MnO4 battery SOC in a timely manner. To verify the effectiveness of the proposed control algorithm, road test experimentation was conducted with an FCHV using the proposed SOC estimation algorithm. It was confirmed that the control technique can be used to effectively manage the lithium-ion battery and conveniently estimate the SOC. |
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Keywords: | Fuel-cell hybrid vehicle Lithium-ion battery State of charge Online control Battery management Ah current integration method |
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