Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles

Capasso, Clemente; Veneri, Ottorino

doi:10.1016/j.apenergy.2014.04.013

Cited by 148 publications

(56 citation statements)

References 31 publications

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“…According to [45], validation refers to the precision at which the model represents the physical world, whereas validation experiments are performed to produce data for model validation. For instance, in [41], experiments are performed with the help of a 1:1 scale laboratory-based dynamic setup; in [46], first, experiments are conducted on individual units in stationary conditions to evaluate their behavior at constant electric parameters, then their performance under dynamic operations with real driving cycles is evaluated. Instead of performing experiments with real powertrain components, in this contribution, a comparison with experimentally-determined parameters from real components is considered along with a brief introduction of a concept known as emulation.…”

Section: Powertrain Configuration With Emulated Componentsmentioning

confidence: 99%

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Moulik

Söffker

2016

Energies

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Abstract:Real-time power management in the presence of one or more reversible energy storage systems is a current issue with hybrid electric vehicles (HEVs). To evaluate the potentials of rule-based power management, optimization with respect to two conflicting objectives, fuel consumption and state of charge (SoC) deviation, is considered in this contribution. A modular structure of power management with decoupled offline and online parts is presented. The online part incorporates look-up tables (LUTs) with parameters from the offline optimization part. This permits an inclusion of more LUTs corresponding to different drive patterns. The goal of this contribution is to combine the real-time applicability of rule-based power management and the multi-objective optimization property of genetic algorithms in a single control strategy. Component aging problems are addressed by suitable design. The influence of sizing is investigated. Finally, an experimental setup consisting of components capable of realizing the dynamics of real powertrain components is realized and introduced. A verification/plausibility assessment of modeled dynamics based on the literature is considered. This newly-introduced concept represents a class of power management, which is easy to implement, can tackle different objectives in real time, and adapt itself to unknown driver demands.

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Section: Powertrain Configuration With Emulated Componentsmentioning

confidence: 99%

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Moulik

Söffker

2016

Energies

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“…Most sustainable transportation vehicles rely on alternative fuel sources such as electricity, solar, wind, bio-fuels, and compressed natural gas (Capasso and Veneri 2014;Rose et al 2013;Mabit and Fosgerau 2011;Arsie et al 2010). Depending on the type of alternative fuel, every transportation vehicle type (e.g.…”

Section: Introductionmentioning

confidence: 99%

Sustainable transport fleet appraisal using a hybrid multi-objective decision making approach

2015

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One of the most critical operational practices influencing the environmental sustainability of organizations and their supply chains is the transport of materials, products and people. The carbon footprints, materials depletion, and general pollution emissions from transport vehicles makes their environmental burdens significant. Thus, identifying, selecting and implementing more environmentally conscious transportation vehicles can be of paramount importance for the development and management of greener supply chains. Given the relative importance of this issue, it is surprising that research on transport fleet evaluation, especially from an environmental sustainability perspective, has been rather limited. A primary challenge in this context is the broad range of influencing factors that need to be considered, many of which are not fully and easily measurable. This paper aims to (1) develop a holistic framework for sustainable transport fleet appraisal incorporating various vehicle performance, economic and environmental criteria, (2) introduce a novel hybrid approach for sustainable transportation vehicle evaluation and selection by combining a three-parameter interval grey number with a rough set theory and VIKOR method, (3) investigate the application of the proposed approach in a case example where empirical data is collected from industry experts, (4) evaluate the robustness of the methodology through sensitivity analysis experiments, and (5) provide practical insights and directions for future research in this area. B Chunguang Bai

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“…Lithium-ion batteries are favored by researchers as one of the most promising candidates for their applications in hybrid and EVs owing to the high specific capacity, high rate capacity, good safety attributes, and cycle life [1][2][3]. To ensure reliability, efficiency, and capacity to deliver power and energy when required, an accurate determination of performance and a precise prediction of state of health (SOH) for lithium-ion batteries are necessary and crucial.…”

Section: Introductionmentioning

confidence: 99%

“…The schematics of a typical current profile for the two modes are shown in Figure 1. Definition of the ratio of CD time to the total operation time (T CD + T CS ) is given in the Equation (1) as follows:…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Degradation Mechanism and State of Health of LiFePO4 Lithium-Ion Batteries in Real-World Plug-in Hybrid Electric Vehicles Application for Different Ageing Paths

Zhang

Yan

et al. 2017

Energies

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Accurate determination of the performance and precise prediction of the state of health (SOH) of lithium-ion batteries are necessary to ensure reliability and efficiency in real-world application. However, most SOH offline studies were based on dynamic stress tests, which only reflect the universal rule of degradation, but are not necessarily applicable for real-world applications. This paper presents an experimental evaluation of two different operations of real-world plug-in hybrid electric vehicles with LiFePO 4 batteries as energy-storage systems. First, the LiFePO 4 batteries were subjected to a set of comparative experimental tests that consider the effects of charge depleting (CD) and charge sustaining (CS) operations. Then, different voltage analysis along with the close-to-equilibrium open circle voltage was utilized to evaluate the performance of the batteries in life cycles. Finally, a qualitative relationship between the external factors (the percentage of time of CD/CS operations during the entire driving range) and the degradation mechanism was built with the help of the proposed methods. Results indicated that the external factors affect the degree of the batteries degradation, but not up to the point when the capacity fading stage occurs. This relationship contributes to the foundation for plug-in hybrid electric vehicles' (PHEVs') energy management strategy or battery management system control strategy.

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Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles

Cited by 148 publications

References 31 publications

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Sustainable transport fleet appraisal using a hybrid multi-objective decision making approach

Evaluating the Degradation Mechanism and State of Health of LiFePO4 Lithium-Ion Batteries in Real-World Plug-in Hybrid Electric Vehicles Application for Different Ageing Paths

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