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|a 1390922773
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|a 9780443161612
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|q (electronic bk.)
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|a (OCoLC)1390677822
|z (OCoLC)1390922773
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|a TK2945.L58
|b S73 2023
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|a 621.312424
|2 23/eng/20230801
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|a State estimation strategies in lithium-ion battery management systems /
|c Shunli Wang [and five more].
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|a Amsterdam, Netherlands ;
|a Cambridge, MA :
|b Elsevier,
|c [2023]
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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|a Description based on online resource; title from digital title page (viewed on September 25, 2023).
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|a Front Cover -- State Estimation Strategies in Lithium-ion Battery Management Systems -- Copyright Page -- Contents -- Preface -- 1 Introduction -- 1.1 Research background -- 1.2 Research significance -- 1.3 Research status -- 1.3.1 Research status of energy state estimation -- 1.3.2 Research status of peak power estimation -- 1.3.3 Research status of state of charge estimation strategies -- 1.3.3.1 Open-circuit voltage method -- 1.3.3.2 The ampere integration method -- 1.3.3.3 The data-driven method -- 1.3.3.4 Model-based estimation methods
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|a 1.3.4 Research status of state of health prediction algorithms -- 1.3.4.1 Capacity test method -- 1.3.4.2 Ohmic internal resistance test method -- 1.3.4.3 Health indicator assessment method -- 1.3.4.4 Adaptive algorithm -- 1.3.4.5 Data-driven algorithm -- References -- 2 Characteristic analysis of power lithium-ion batteries -- 2.1 Research background -- 2.1.1 Working principles analysis of lithium-ion batteries -- 2.1.2 Characteristic test of power lithium-ion batteries -- 2.1.3 Energy test experiment -- 2.1.4 Hybrid pulse power characterization test
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|a 2.1.5 Battery capacity calibration experiments -- 2.1.6 Charge-discharge experiments at different current rates -- 2.1.7 Battery aging test experiment -- 2.2 Working characteristic analysis of lithium-ion batteries -- 2.2.1 Energy characteristic analysis -- 2.2.2 Internal resistance characteristic analysis -- 2.2.3 Open-circuit voltage characteristic analysis -- 2.2.4 Battery temperature characteristic analysis -- 2.3 Chapter summary -- References -- 3 Aging characteristics of lithium-ion batteries -- 3.1 Basic characteristics of lithium-ion batteries
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|a 3.1.1 Performance index of mainstream lithium-ion batteries -- 3.1.2 Working principle of lithium-ion batteries -- 3.2 Analysis of state of charge affecting factors -- 3.2.1 Analysis of battery temperature characteristics -- 3.2.2 Experimental analysis of the charge-discharge ratio -- 3.2.3 Research status of energy state estimation -- 3.3 Battery aging characteristic analysis -- 3.3.1 Analysis of SOH affecting factors -- 3.3.2 State of charge-OCV law in the aging process -- 3.3.3 Analysis of battery aging internal resistance -- 3.4 Chapter summary -- References
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|a 4 Lithium-ion battery hysteresis characteristics and modeling -- 4.1 Hysteresis characteristics of lithium-ion battery -- 4.1.1 Battery hysteresis -- 4.1.2 Secondary loop hysteresis characteristics -- 4.1.3 Hysteresis temperature dependence -- 4.1.4 Hysteretic path dependence -- 4.2 Lithium-ion battery open-circuit voltage-state of charge model -- 4.2.1 Equivalent circuit model with hysteresis -- 4.2.2 Model parameter identification -- 4.2.3 PI hysteresis model -- 4.3 Chapter summary -- References -- 5 Lithium-ion battery aging mechanism and multiple regression model -- 5.1 Research background
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| 650 |
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|a Lithium ion batteries.
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| 650 |
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|a Lithium ion batteries
|x Mathematical models.
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| 650 |
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|a Batteries au lithium-ion.
|0 (CaQQLa)000276316
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| 650 |
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|a Batteries au lithium-ion
|0 (CaQQLa)000276316
|x Mod�eles math�ematiques.
|0 (CaQQLa)201-0379082
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| 650 |
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|a Lithium ion batteries
|2 fast
|0 (OCoLC)fst01764640
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| 655 |
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|a Electronic books.
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| 700 |
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|a Wang, Shunli,
|e author.
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|i ebook version :
|z 9780443161612
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| 776 |
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|c Original
|z 0443161607
|z 9780443161605
|w (OCoLC)1365052355
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| 776 |
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|i Print version:
|t STATE ESTIMATION STRATEGIES IN LITHIUM-ION BATTERY MANAGEMENT SYSTEMS.
|d [S.l.] : ELSEVIER - HEALTH SCIENCE, 2023
|z 0443161607
|w (OCoLC)1365052355
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| 856 |
4 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780443161605
|z Texto completo
|
