A review on the key issues for lithium-ion battery management in electric vehicles

Lu, Languang; Han, Xiao; Li, Jianqiu; Hua, Jianfeng; Ouyang, Minggao

doi:10.1016/j.jpowsour.2012.10.060

Cited by 4,078 publications

(2,093 citation statements)

References 80 publications

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“…15 Al 0.05 O 2 at about 160 • C, LiNi x Co y Mn z O 2 at about 210 • C, LiMn 2 O 4 at about 265 • C, and LiFePO 4 at about 310 • C) and produce oxygen. When the temperature is above 200 • C, the battery electrolyte will decompose and produce combustible gas [73]. Therefore, the heat management system is also very important in the battery system of electric vehicles.…”

Section: State Of the Artmentioning

confidence: 99%

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

et al. 2018

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Sate of charge (SOC) accurate estimation is one of the most important functions in a battery management system for battery packs used in electrical vehicles. This paper focuses on battery SOC estimation and its issues and challenges by exploring different existing estimation methodologies. The key technologies of lithium-ion battery state estimation methodologies of the electrical vehicles categorized under five groups, such as the conventional method, adaptive filter algorithm, learning algorithm, nonlinear observer, and the hybrid method, are explored in an in-depth analysis. Lithium-ion battery characteristic, battery model, estimation algorithm, and cell unbalancing are the most important factors that affect the accuracy and robustness of SOC estimation. Finally, this paper concludes with the challenges of SOC estimation and suggests other directions for possible research efforts.

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Section: State Of the Artmentioning

confidence: 99%

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

et al. 2018

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“…SOC is often expressed in percent, 100% means full capacity and 0% means an empty capacity [2]. Precise SOC estimation can avoid unpredictable system disturbances and prevent the battery from overcharge and over discharge, which can cause permanent damage to the internal structure of the battery [3].…”

Section: State Of Charge and State Of Healthmentioning

confidence: 99%

“…Coulomb counting method (CC) and open circuit voltage (OCV) is widely used to estimate the SOC. CC method is the simplest and most common method to get the battery SOC [2]. This method can be expressed as follows, (1) where SOC0 represents SOC at the initial time t0; CN represents rated capacity (the capacity of the battery in standard condition, changing with service life); η represents coulombic efficiency which is equal to 1 while discharging and is smaller than 1 while charging; I represents current which is negative at charge and positive at discharge.…”

Section: State Of Charge and State Of Healthmentioning

confidence: 99%

“…This method can be expressed as follows, (1) where SOC0 represents SOC at the initial time t0; CN represents rated capacity (the capacity of the battery in standard condition, changing with service life); η represents coulombic efficiency which is equal to 1 while discharging and is smaller than 1 while charging; I represents current which is negative at charge and positive at discharge. Open circuit voltage after the battery reaches sufficient rest can be considered to reach steady voltage, since there is a correspondence between the OCV and the SOC and support the little relationship of battery life, this is an effective method for estimating the SOC of the battery [2].…”

Section: State Of Charge and State Of Healthmentioning

confidence: 99%

“…Regarding capacity, the SOH can be defined by (2) where Qmax is the maximum capacity that can be absorbed from the battery [5]. SOC value also refers to the value of the capacity of the equation (2) can be transformed into…”

Section: State Of Charge and State Of Healthmentioning

confidence: 99%

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State of health estimation in lithium polymer battery

Ramadan¹,

Pramana²,

Cahyadi³

et al. 2016

AIP Conference Proceedings

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Contribution management of lead‐acid battery, Li‐ion battery, and supercapacitor to handle different functions in EVs

Farjah

Ghanbari

Seifi

2019

Int Trans Electr Energ Syst

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Summary One of the most concerning issues regarding electrical vehicles (EVs) is limited driving cycle and protracted charging process. In order to improve the efficiency of current batteries, appropriate energy management systems (EMSs) could be deployed to compensate these defects. To overcome these obstacles, an EMS including a bidirectional Cuk converter and a battery storage with two types of batteries is proposed. Lithium‐ion (Li‐ion) and lead‐acid battery types are considered as the main battery and auxiliary battery packs, respectively. Moreover, a supercapacitor is utilized to help the auxiliary battery for handling fast dynamics of the power delivery in braking and acceleration conditions. While the function of the main battery is to be charged and discharged in normal conditions, handling harsh conditions lies upon the auxiliary battery. So, the auxiliary battery can be rapidly discharged during acceleration and quickly recharged in charge stations. Furthermore, it can be used for an exchangeable battery strategy aimed at reducing congestion at charge stations. In order to plan for different scenarios, a Cuk converter is employed as a convenient interface between the batteries to manage power sharing. Operation of the system in different modes are discussed comprehensively. The performance of the proposed topology is assessed using some simulations and experiments in different conditions.

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A review on the key issues for lithium-ion battery management in electric vehicles

Cited by 4,078 publications

References 80 publications

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

State of health estimation in lithium polymer battery

Contribution management of lead‐acid battery, Li‐ion battery, and supercapacitor to handle different functions in EVs

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