Lithium ion battery pulse test secods on off
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Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Application filed by Shenzhen Bak Power Battery Co Ltd filed Critical Shenzhen Bak Power Battery Co Ltd Priority to CN201810930150.0A priority Critical patent/CN110988713B/en Publication of CN110988713A publication Critical patent/CN110988713A/en Application granted granted Critical Publication of CN110988713B publication Critical patent/CN110988713B/en Status Active legal-status Critical Current Anticipated expiration legal-status Critical Links Original Assignee Shenzhen Bak Power Battery Co Ltd Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.) ( en Inventor 张华军 杨玉萍 李志鹏 张莉莉 王世珍 Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Granted Application number CN201810930150.0A Other languages Chinese ( zh)
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LITHIUM ION BATTERY PULSE TEST SECODS ON OFF PDF
Google Patents Method for testing pulse current capability of lithium ion batteryĭownload PDF Info Publication number CN110988713A CN110988713A CN201810930150.0A CN201810930150A CN110988713A CN 110988713 A CN110988713 A CN 110988713A CN 201810930150 A CN201810930150 A CN 201810930150A CN 110988713 A CN110988713 A CN 110988713A Authority CN China Prior art keywords lithium ion ion battery pulse current battery Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents CN110988713A - Method for testing pulse current capability of lithium ion battery The SOC estimation accuracy based on the fractional-order equivalent circuit model of lithium-ion battery is validated.CN110988713A - Method for testing pulse current capability of lithium ion battery The simulation results show that the model has higher accuracy and better robustness against different driving conditions, different SOC ranges and different temperatures than the second-order RC equivalent circuit model. Thirdly, based on the mixed-swarm-based cooperative particle swarm optimization, parameter identification of the fractional-order equivalent circuit model is conducted using the federal city driving schedule experimental data in the time domain. Secondly, a fractional-order equivalent circuit model of lithium-ion battery is established, which can accurately describe the electrochemical processes such as charge transfer reaction, double-layer effect, mass transfer and diffusion of lithium-ion battery. Firstly, this paper analyzes the electrochemical impedance spectrogram of lithium-ion battery, and adopts impedance elements with fractional order characteristics such as constant phase element and Warburg element to improve the second-order RC integer equivalent circuit model based on the fractional calculus theory. So the models can be embedded in microprocessors and provide accurate results in real-time. To effectively use and manage lithium-ion batteries and accurately estimate battery states such as state of charge and state of health, battery models with good robustness, accuracy and low-complexity need to be established.