Chapter, 2023

Chapter 1 Introduction

In: State Estimation Strategies in Lithium-ion Battery Management Systems, 9780443161605

Publisher: Elsevier

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

Contributors (15)

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 [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]
  3. [2] Robert Gordon University
  4. [NORA names: United Kingdom; Europe, Non-EU; OECD]
  5. [3] Aalborg University
  6. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]
  7. [4] Shandong University
  8. [NORA names: China; Asia, East]
  9. [5] Robert Gordon University, Aberdeen, United Kingdom Sichuan University, Chengdu, P.R. China

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

Chapter 1 Introduction, alarms, aspects, automobiles, batteries, battery management system, battery pack, battery voltage, charge, conditions, core, diagnosis, efficiency, energy management, energy supply, energy supply system, energy utilization, energy vehicles, estimation, great significance, hazard alarm, health, information, introduction, key reference information, lithium-ion batteries, lithium-ion battery pack, main aspects, main source, management, management system, monitoring, new energy vehicles, overall energy supply system, pack, parameters, peak power estimation, power estimation, reference information, safety diagnosis, safety monitoring, significance, source, state, state estimation, state of charge, state of health, state parameters, storage, supply, supply system, system, temperature, use, utilization, vehicles, voltage