Chapter, 2023

Chapter 1 Introduction

State Estimation Strategies in Lithium-ion Battery Management Systems 9780443161605, Pages 1-25

Editors:

Publisher: Elsevier

DOI: 10.1016/b978-0-443-16160-5.00007-x

Contributors

Li, Bowen [1] Fernandez, Carlos 0000-0001-6588-9590 [2] Yu, Chun-Mei [1] Liu, Donglei 0000-0002-5370-4760 [1] Stroe, Daniel-Ioan 0000-0002-2938-8921 [3] Li, Huan [1] Liu, Kailong 0000-0002-3564-6966 [4] Xia, Lili [1] Yu, Peng [1] Wang, Shunli 0000-0003-0485-8082 [1] Shi, Weihao [1] Ji, Weikang [1] Xu, Wenhua [1] Xiao, Xianyong [5] Yang, Xiaoyong [1]

Affiliations

  1. [1] Southwest University of Science and Technology
    2. [NORA names: China; Asia, East];
  2. [2] Robert Gordon University
    3. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [3] Aalborg University
    4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  4. [4] Shandong University
    5. [NORA names: China; Asia, East];
  5. [5] Robert Gordon University, Aberdeen, United Kingdom Sichuan University, Chengdu, P.R. China
    6. [NORA names: China; Asia, East]

Abstract

As the main source of automotive energy supply and storage, automotive lithium-ion battery packs are indispensable in the overall energy supply system of automobiles. Therefore, Battery Management System (BMS), as the main aspect in energy management and safety monitoring of new energy vehicles, has become an indispensable core of new energy vehicles. BMS not only accurately measures the battery voltage, current, temperature, and other key reference information, simultaneously carries out system safety diagnosis and hazard alarm, but also predicts energy state estimation, peak power estimation, state of charge, and state of health to enhance efficiency of energy utilization and improve working condition. Therefore, the estimation of four core state parameters of lithium-ion batteries is of great significance for reliable, safe, and long-lasting use of the batteries.

Keywords

alarm, automobile, battery, battery management system, battery pack, battery voltage, charge, conditions, core, diagnosis, efficiency, efficiency of energy utilization, energy, energy management, energy supply, energy utilization, energy vehicles, estimation, hazard, hazard alarm, health, improve working conditions, information, lithium-ion batteries, lithium-ion battery pack, management, management system, monitoring, overall energy supply system, packing, parameters of lithium-ion batteries, peak power estimation, power estimation, safety, safety diagnosis, safety monitoring, significance, source, state, state estimation, state of charge, state of health, storage, supply, system, temperature, utilization, vehicle, voltage, working conditions

Data Provider: Digital Science

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