Requirements for charging of an electric vehicle system based on state of power (SoP) and state of energy (SoE)

Bhattacharya, Subhadeep; Bauer, Pavol

doi:10.1109/ipemc.2012.6258900

Cited by 11 publications

(5 citation statements)

References 2 publications

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“…It uses the basic blocks from [4] and uses the equations (16)(17)(18)(19)(20)(21)(22)(23)(24) power is fed to the battery pack. Otherwise, the maximum power that the battery pack can take, that is only send to the battery pack.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Simplified Modelling of a Battery Parameters and Application in Electric Vehicle Battery Charging Based on State of Power (SoP) and State of Energy (SoE)

Bhattacharya¹,

Bauer²

2017

TEE

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Section: Simulation Resultsmentioning

confidence: 99%

“…IV. BATTERY PACK MODELING In most of the practical cases, the electric vehicle (EV) system will have more than one battery to meet the need of the system [21][22][23][24]. The batteries will be packed as a battery pack which may have different configurations [22].…”

Section: Modeling Battery Parametersmentioning

confidence: 99%

Simplified Modelling of a Battery Parameters and Application in Electric Vehicle Battery Charging Based on State of Power (SoP) and State of Energy (SoE)

Bhattacharya¹,

Bauer²

2017

TEE

Self Cite

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“…Shen et al [198] x x ECM with RLS for Parameter Identification As the battery systems power capability is based on the capability of each single cell, their specific SOF must be taken into account. Instead, most commonly, the cells' states are assumed to be equal [272], which is an oversimplification over battery lifetime.…”

Section: Online Identification Of State Of Functionmentioning

confidence: 99%

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems. They have the potential to make battery systems more performant and future-proof for coming generations of electric vehicles. The essential features of Intelligent Battery Systems are the accurate and robust determination of cell individual states and the ability to control the current of each cell by reconfiguration. They enable high-level functions like fault diagnostics, multi-objective balancing strategies, multilevel inverters, and hybrid energy storage systems. State of the art and recent advances in these topics are compiled and critically discussed in this article. A comprising, critical discussion of the implementation aspects of Intelligent Battery Systems complements the review. We touch on sensing, battery topologies and management, switching elements, communication architecture, and impact on the single-cell. This review contributes to transferring the best technologies from research to product development.

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“…Dong completed the description of SOE and refined the formula with three vital parameters, that is, the initial value of SOE, the rated energy, and the integral of instantaneous power . Meanwhile, the heat generation was not thought to be ignored that the thermal energy was included in the dissipation energy, and the effects of other factors like temperature and discharge rate were analyzed to optimize the calculation model of SOE . Combined with the mathematical definition mentioned above, some intelligent algorithms were also employed in the calculation process for seeking a more accurate SOE value quickly …”

Section: Introductionmentioning

confidence: 99%

An SOE estimation model considering electrothermal effect for LiFePO₄/C battery

et al. 2017

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Summary The state of energy (SOE) is an important performance parameter and evaluation index for LiFePO4/C battery since the available energy can be known more intuitively through SOE compared with state of charge (SOC). First, in order to improve the estimation accuracy of SOE, a novel estimation model combining electrical energy and thermal energy is put forward by studying the effects of discharge rate to the change laws of all kinds of energy inside the battery cell. Moreover, the concepts of unavailable energy Eu, maximum allowable energy E, and discharge energy efficiency η are originally proposed based on the analysis of energy consumption. Second, the parameter of actual maximum energy and energy consumption revised by the case of LiFePO4/C battery can give an example to show the specific steps for improving the estimation accuracy of SOE during any integration time by using the novel SOE estimation model. Lastly, 2 international standard test experiments of EV are conducted to show the correction of SOC can efficiently limit the error below 4.6% and also indicate the novel SOE estimation method suitable for application area.

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Requirements for charging of an electric vehicle system based on state of power (SoP) and state of energy (SoE)

Cited by 11 publications

References 2 publications

Simplified Modelling of a Battery Parameters and Application in Electric Vehicle Battery Charging Based on State of Power (SoP) and State of Energy (SoE)

Simplified Modelling of a Battery Parameters and Application in Electric Vehicle Battery Charging Based on State of Power (SoP) and State of Energy (SoE)

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

An SOE estimation model considering electrothermal effect for LiFePO₄/C battery

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Requirements for charging of an electric vehicle system based on state of power (SoP) and state of energy (SoE)

Cited by 11 publications

References 2 publications

Simplified Modelling of a Battery Parameters and Application in Electric Vehicle Battery Charging Based on State of Power (SoP) and State of Energy (SoE)

Simplified Modelling of a Battery Parameters and Application in Electric Vehicle Battery Charging Based on State of Power (SoP) and State of Energy (SoE)

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

An SOE estimation model considering electrothermal effect for LiFePO4/C battery

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Product

Resources

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An SOE estimation model considering electrothermal effect for LiFePO₄/C battery