Abstract

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.

Highlights

  • Well-known greenhouse gas (GHG) emissions, due to extensive use of diesel and gasoline, threaten our environment [1]

  • Wasted battery packs are still available for energy balancing in thermal power plants, due to their residual electrical capacity [9]

  • open-circuit voltage (OCV) and IRsprocedure can be precisely estimated from input parameters, i.e., working scheme, is shown in

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Summary

Introduction

Well-known greenhouse gas (GHG) emissions, due to extensive use of diesel and gasoline, threaten our environment [1]. Electric vehicles (EVs) have been identified as being a key technology in reducing emissions and energy consumption in the transport sector [4]. Reuse of LIBs has become crucial in recent years [10], since renewable energy sources such as solar energy and wind energy are intermittent in nature. They have to keep continuous and reliable supply [11,12,13]. One simple pulse-width modulation (PWM) module is adopted to adjust the duty ratio of RLIB Verification of this battery management for RLIB is conducted by systematic testing on bench by monitoring online results of estimation. It is expected that this study will contribute to promoting the systematic reuse of wasted LIB in industry before the chemical method

Enhancing Battery Management of Extending Life for RLIB
Adaptive
Setup of Test Bench
Life Extension Test by Using An Ultracapacitor
Estimation of OCV and IRs
Ininexperiment
Conclusions
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