Next Article in Journal
An Evaluation of Energy Storage Cost and Performance Characteristics
Next Article in Special Issue
Comparative Analysis of National Policies for Electric Vehicle Uptake Using Econometric Models
Previous Article in Journal
Parameters of Transition from Deepening Longitudinal to Continuous Lateral Surface Mining Methods to Decrease Environmental Damage in Coal Clusters
Previous Article in Special Issue
Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems
Article

Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery

1
Wistron Corporation, Hsichih 22181, Taiwan
2
Department of Naval Architecture and Ocean Engineering, Chosun university, Gwangju 61452, Korea
3
Center for Environmental Risk Management, Chung Yuan Christian University, ChungLi 32023, Taiwan
4
Vigourpack Co., Ltd., Taichung 408, Taiwan
*
Author to whom correspondence should be addressed.
Energies 2020, 13(13), 3306; https://doi.org/10.3390/en13133306
Received: 29 May 2020 / Revised: 21 June 2020 / Accepted: 23 June 2020 / Published: 28 June 2020
(This article belongs to the Special Issue Electric Systems for Transportation)
In this study, a battery management system (BMS) is developed for reused lithium-ion battery (RLIB). Additional enhancing functions of battery management are established, i.e., estimation of life-sensitized parameters and life extension. Life-sensitizing parameters mainly include open-circuit voltage (OCV) and internal resistances (IRs). They are sensitized parameters individually relative to state of charge (SOC) and state of health (SOH). For estimating these two parameters, an adaptive control scheme is implemented in BMS. This online adaptive control approach has been extensively applied to nonlinear systems with uncertainties. In two experiments, OCV and IRs of reused battery packs are accurately extracted from working voltage and discharge current. An offline numerical model using a schematic method is applied to verify the applicability and efficiency of this proposed online scheme. Furthermore, a solution of actively extending life by using an ultracapacitor to share peak power of RLIB through adjusting duty ratio is also proposed. It is shown that this enhancing battery management for RLIB can properly estimate OCV and IRs, and actively extend the life of the RLIB in two experiments. View Full-Text
Keywords: reused battery; adaptive control theory; battery management system (BMS); internal resistances; open-circuit voltage reused battery; adaptive control theory; battery management system (BMS); internal resistances; open-circuit voltage
Show Figures

Figure 1

MDPI and ACS Style

Yuan, W.-P.; Jeong, S.-M.; Sean, W.-Y.; Chiang, Y.-H. Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery. Energies 2020, 13, 3306. https://doi.org/10.3390/en13133306

AMA Style

Yuan W-P, Jeong S-M, Sean W-Y, Chiang Y-H. Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery. Energies. 2020; 13(13):3306. https://doi.org/10.3390/en13133306

Chicago/Turabian Style

Yuan, Wen-Poo, Se-Min Jeong, Wu-Yang Sean, and Yi-Hsien Chiang. 2020. "Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery" Energies 13, no. 13: 3306. https://doi.org/10.3390/en13133306

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop