Parameter Identification and State Estimation of Lithium-Ion Batteries for Electric Vehicles with Vibration and Temperature Dynamics

Zachary Bosire Omariba,Dongbai Sun,Lijun Zhang,Hanwen Kang

doi:10.3390/wevj11030050

Abstract

There are different types of rechargeable batteries, but lithium-ion battery has proven to be superior due to its features including small size, more volumetric energy density, longer life, and low maintenance. However, lithium-ion batteries face safety issues as one of the common challenges in their development, necessitating research in this area. For the safe operation of lithium-ion batteries, state estimation is very significant and battery parameter identification is the core in battery state estimation. The battery management system for electric vehicle application must perform a few estimation tasks in real-time. Battery state estimation is defined by the battery model adopted and its accuracy impacts the accuracy of state estimation. The knowledge of the actual operating conditions of electric vehicles requires the application of an accurate battery model; for our research, we adopted the use of the dual extended Kalman filter and it demonstrated that it yields more accurate and robust state estimation results. Since no single battery model can satisfy all the requirements of battery estimation and parameter identification, the hybridization of battery models together with the introduction of internal sensors to batteries to measure battery internal reactions is very essential. Similarly, since the current battery models rarely consider the coupling effect of vibration and temperature dynamics on model parameters during state estimation, this research goal is to identify the battery parameters and then present the effect of the vibration and temperature dynamics in battery state estimation.

Highlights

Lithium-ion batteries (LIBs) have been deployed in a wide range of energy storage applications [1], ranging from consumer electronics, aerospace vehicles, military communications, and transport.In transportation, LIBs are used in electric vehicles both in the road, aerial, over-sea, and under-sea, which comprise either fully electric or hybrid vehicles
The wide application of LIBs is attributed to the LIB’s high-density and green new generation rechargeable battery, with outstanding benefits including low self-discharge rate, low maintenance, small volume, and superior capacity, as compared to lead acid and nickel cadmium batteries. These benefits of LIBs have led to the rapid adoption of electric vehicles (EVs), which have a myriad of benefits, that includes lack of environmental pollution, higher efficiency, affordable cost, reduction of greenhouse emissions, and reasonably safe operation [2,3]
This paper studies the online parameter and state estimation of LIBs in EVs under vibration and temperature parameters which forms the main focus of the paper

Summary

Introduction

Lithium-ion batteries (LIBs) have been deployed in a wide range of energy storage applications [1], ranging from consumer electronics, aerospace vehicles, military communications, and transport.In transportation, LIBs are used in electric vehicles both in the road, aerial, over-sea, and under-sea, which comprise either fully electric or hybrid vehicles. The wide application of LIBs is attributed to the LIB’s high-density and green new generation rechargeable battery, with outstanding benefits including low self-discharge rate, low maintenance, small volume, and superior capacity, as compared to lead acid and nickel cadmium batteries. These benefits of LIBs have led to the rapid adoption of electric vehicles (EVs), which have a myriad of benefits, that includes lack of environmental pollution, higher efficiency, affordable cost, reduction of greenhouse emissions, and reasonably safe operation [2,3]. In order for EVs to offer the best results, online parameter estimation and battery state estimation are critical to reduce the catastrophic cost upon battery failure

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Results

Conclusion