| Description |
1 online resource |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Note |
Description based on online resource; title from digital title page (viewed on September 25, 2023). |
| Contents |
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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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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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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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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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 |
| Subject |
Lithium ion batteries.
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Lithium ion batteries -- Mathematical models.
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Batteries au lithium-ion.
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Batteries au lithium-ion -- Modèles mathématiques.
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Lithium ion batteries
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| Added Author |
Wang, Shunli, author.
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| Other Form: |
Print version: 9780443161612 |
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Print version: 0443161607 9780443161605 (OCoLC)1365052355 |
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Print version: STATE ESTIMATION STRATEGIES IN LITHIUM-ION BATTERY MANAGEMENT SYSTEMS. [S.l.] : ELSEVIER - HEALTH SCIENCE, 2023 0443161607 (OCoLC)1365052355 |
| ISBN |
9780443161612 (electronic bk.) |
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0443161615 (electronic bk.) |
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9780443161605 |
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0443161607 |
| Standard No. |
AU@ 000074911566 |
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UKMGB 021054892 |
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AU@ 000075000617 |
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