A new approach to consider the influence of aging state on Lithium-ion battery state of power estimation for hybrid electric vehicle

Esfandyari, Mohammad Javad; Esfahanian, Vahid; Yazdi, Mohammad Reza Hairi; Nehzati, Hassan; Shekoofa, Omid

doi:10.1016/j.energy.2019.03.176

Cited by 47 publications

(20 citation statements)

References 37 publications

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“…This question was also stated in Figure 3. The performance of battery packs, mostly Li-Ion batteries, are discussed in terms of aging in [55,57,[90][91][92][93], in terms of temperature impact in [94,95] and also of state of balance/ health [96], in terms of both aging and temperature of operation in [56], in terms of both aging and sizing in [97], and in terms of both aging and energy management/power estimation in [98][99][100]. Also, the experimental settlement has a strong influence on the outcomes reported, and for that reason we can find out contradictory results in many papers.…”

Section: Discussionmentioning

confidence: 99%

Are Personal Electric Vehicles Sustainable? A Hybrid E-Bike Case Study

Machedon-Pisu

Borza

2019

Sustainability

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As the title suggests, the sustainability of personal electric vehicles is in question. In terms of life span, range, comfort, and safety, electric vehicles, such as e-cars and e-buses, are much better than personal electric vehicles, such as e-bikes. However, electric vehicles present greater costs and increased energy consumption. Also, the impact on environment, health, and fitness is more negative than that of personal electric vehicles. Since transportation vehicles can benefit from hybrid electric storage solutions, we address the following question: Is it possible to reach a compromise between sustainability and technology constraints by implementing a low-cost hybrid personal electric vehicle with improved life span and range that is also green? Our methodology consists of life cycle assessment and performance analyses tackling the facets of the sustainability challenges (economy, society, and environment) and limitations of the electric storage solutions (dependent on technology and application) presented herein. The hybrid electric storage system of the proposed hybrid e-bike is made of batteries, supercapacitors, and corresponding power electronics, allowing the optimal control of power flows between the system's components and application's actuators.Our hybrid e-bike costs less than a normal e-bike (half or less), does not depend on battery operation for short periods of time (a few seconds), has better autonomy than most personal electric vehicles (more than 60 km), has a greater life span (a few years more than a normal e-bike), has better energy efficiency (more than 90%), and is much cleaner due to the reduced number of batteries replaced per life time (one instead of two or three).

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Section: Discussionmentioning

confidence: 99%

Are Personal Electric Vehicles Sustainable? A Hybrid E-Bike Case Study

Machedon-Pisu

Borza

2019

Sustainability

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“…This model has a clear physical setup, simple structural design, and can perfectly simulate the battery performance, so it is widely used in the state estimation of a battery. [28][29][30][31][32][33] The ECMs comprise of Rint model, resistance-capacity (RC) model, and partnership for a new generation of vehicles (PNGV) model. [34][35][36][37][38][39] The Rint model has the simplest structure but cannot describe the polarization characteristics of a battery, therefore its application scenarios are very limited.…”

Section: Introductionmentioning

confidence: 99%

“…In an ECM, a battery is composed of a series of electronic components. This model has a clear physical setup, simple structural design, and can perfectly simulate the battery performance, so it is widely used in the state estimation of a battery 28‐33 . The ECMs comprise of Rint model, resistance‐capacity (RC) model, and partnership for a new generation of vehicles (PNGV) model 34‐39 .…”

Section: Introductionmentioning

confidence: 99%

Real‐time identification of partnership for a new generation of vehicles battery model parameters based on the model reference adaptive system

et al. 2021

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Partnership for a new generation of vehicles (PNGV) model is a conventional battery equivalent circuit model (ECM). However, identifying the best parameters for this model is a challenge. In this study, the PNGV model is transformed into a directly identifiable difference equation to identify its parameters. Subsequently, the model reference adaptive system (MRAS) is used to realize the real-time identification of the model parameters. The identification accuracy of the MRAS is found to be superior to that of the recursive extended least square algorithm. For a single hybrid pulse power characterization (HPPC), the PNGV model identified by the MRAS can achieve a high-precision terminal voltage estimation. For lithium iron phosphate, lithium titanate, and nickel-metal hydride batteries, the root mean square errors are 0.024, 0.048, and 0.020 V, respectively. Besides, the real-time state of charge (SOC) estimation can be realized by the identified open-circuit voltage (OCV). The average errors of the three batteries are only −0.02, −0.01, and −0.01, respectively. Since the PNGV model has a capacity of describing the change of OCV with the current accumulation effect, the model is only suitable for simulating single HPPC or positive-negative pulses with equal amplitude and not for other current pulses. This is a major drawback of the PNGV model. The real-time PNGV model parameters identification method proposed in this study can provide a solid foundation for various state estimation of a battery. Novelty Statement• Transformation of the PNGV model into a difference equation that can be directly identified.• Real-time identification of the PNGV model parameters via the MRAS.• The identified OCV realized the real-time SOC estimation and discussed the deficiencies of the PNGV model.

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“…At a lower battery state of charge (SOC) and ambient temperature, the peak discharge power of the battery will drop significantly. During switching the operating mode from the pure electric mode to the hybrid mode, the battery discharge power request may exceed the normal operating range, which will shorten the battery life [9,10]. Moreover, battery durability issues will increase the total cost of ownership of electric vehicles [11,12].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve

Fan

Zhou³

et al. 2021

Energies

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When the series-parallel hybrid electric vehicle exits the pure electric mode, the battery provides power for the drive motor and integrated starter generator (ISG) to drive the vehicle and start the engine. If the battery discharge power is insufficient, the driving power will drop, which will inhibit the vehicle from accelerating and impair drivability. Considering that the mode selection strategy determines the timing of mode switching, this paper proposes an adaptive mode selection strategy based on variable power reserve to allow the vehicle to switch mode considering the battery power limitation. The effectiveness of this strategy is verified by simulation, and its influence on fuel consumption and battery utilization is analyzed. Compared with the mode selection strategy based on logic thresholds at the same initial battery state of charge (SOC), under the high-speed and aggressive US06 cycle, the total driving power drop is reduced by 74.2%, and the over-discharge power of the battery is fully restrained while keep almost the same fuel consumption; under the city FTP cycle, the total driving power drop is reduced 65%, and fuel consumption is reduced while maintaining SOC at a reasonable level.

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A new approach to consider the influence of aging state on Lithium-ion battery state of power estimation for hybrid electric vehicle

Cited by 47 publications

References 37 publications

Are Personal Electric Vehicles Sustainable? A Hybrid E-Bike Case Study

Are Personal Electric Vehicles Sustainable? A Hybrid E-Bike Case Study

Real‐time identification of partnership for a new generation of vehicles battery model parameters based on the model reference adaptive system

Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve

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