Lithium-ion batteries life estimation for plug-in hybrid electric vehicles

Marano, Vincenzo; Onori, Simona; Guezennec, Yann; Rizzoni, Giorgio; Madella, Nullo

doi:10.1109/vppc.2009.5289803

Cited by 171 publications

(108 citation statements)

References 5 publications

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“…The energy throughput (Ah-throughput) is defined as the total energy (charge) that is transferred to and from the battery. Other stress factors such as temperature, depth-of-discharge and charge-discharge rate may be accounted for as weighting factors when counting the battery throughput [43,44]. A detailed analysis of battery lifetime is beyond the scope of this paper, because the extent of the effect of different stress factors on the battery lifetime depends very much on the battery chemistry, and relevant data for the battery used in this study are not available.…”

Section: Further Discussionmentioning

confidence: 99%

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

2015

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Abstract:In this paper, an experimental fuel cell/battery/supercapacitor hybrid system is investigated in terms of modeling and power management design and optimization. The power management strategy is designed based on the role that should be played by each component of the hybrid power source. The supercapacitor is responsible for the peak power demands. The battery assists the supercapacitor in fulfilling the transient power demand by controlling its state-of-energy, whereas the fuel cell system, with its slow dynamics, controls the state-of-charge of the battery. The parameters of the power management strategy are optimized by a genetic algorithm and Pareto front analysis in a framework of multi-objective optimization, taking into account the hydrogen consumption, the battery loading and the acceleration performance. The optimization results are validated on a test bench composed of a fuel cell system (1.2 kW, 26 V), lithium polymer battery (30 Ah, 37 V), and a supercapacitor (167 F, 48 V).

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Section: Further Discussionmentioning

confidence: 99%

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

2015

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“…To simulate charge sustaining, the initial battery SOC is set as 30% because the CS condition is set from 30.5% to 29.5% SOC. If a lithium ion battery is low SOC, the battery has low efficiency and downgraded performance and will be heating and aging [22]. Therefore, the simulation sets the battery usage range not to operate below 25% SOC.…”

Section: Relationship Between Mode Transition and Gear Shiftingmentioning

confidence: 99%

A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

Sim¹,

Oh²,

Kang³

et al. 2017

Energies

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Abstract:The mode transition from electric propulsion mode to hybrid propulsion mode is important with regard to the power management strategy of plug-in hybrid electric vehicles (PHEVs). This is because mode transitions can occur frequently depending on the power management strategies and driving cycles, and because inadequate mode transitions worsen the fuel efficiency and drivability. A pre-transmission parallel PHEV uses a clutch between the internal combustion engine (ICE) and the electric motor (EM) to connect or disconnect the power source of the ICE for a mode transition. The mode transition requires additional energy consumption for clutch speed synchronization, and is accompanied by a drivetrain shock due to clutch engagement. This paper proposes a control strategy for the mode transition with gear-shifting to resolve the problems of energy consumption and drivetrain shock. Through the development of a PHEV performance simulator, we analyze the mode transition characteristics and propose a control strategy considering the vehicle acceleration and gear state. The control strategy reduces the duration required for the mode transition by moving the start time of the mode transition. This helps to improve energy efficiency while maintaining adequate drivability.

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“…Research published by [36], highlight that battery degradation is a function of battery depth of discharge (DoD) and the transient load placed on the battery. The inclusion of such factors within the improved ECMS cost function represents a valuable area of future research.…”

Section: Energy Management Control Systemmentioning

confidence: 99%

The Novel Application of Optimization and Charge Blended Energy Management Control for Component Downsizing within a Plug-in Hybrid Electric Vehicle

2012

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Abstract:The adoption of Plug-in Hybrid Electric Vehicles (PHEVs) is widely seen as an interim solution for the decarbonization of the transport sector. Within a PHEV, determining the required energy storage capacity of the battery remains one of the primary concerns for vehicle manufacturers and system integrators. This fact is particularly pertinent since the battery constitutes the largest contributor to vehicle mass. Furthermore, the financial cost associated with the procurement, design and integration of battery systems is often cited as one of the main barriers to vehicle commercialization. The ability to integrate the optimization of the energy management control system with the sizing of key PHEV powertrain components presents a significant area of research. Contained within this paper is an optimization study in which a charge blended strategy is used to facilitate the downsizing of the electrical machine, the internal combustion engine and the high voltage battery. An improved Equivalent Consumption Method has been used to manage the optimal power split within the powertrain as the PHEV traverses a range of different drivecycles. For a target CO 2 value and drivecycle, results show that this approach can yield significant downsizing opportunities, with cost reductions on the order of 2%-9% being realizable.Keywords: PHEV; battery; energy management; equivalent consumption minimization strategy (ECMS); component sizing; optimization 4895Number of cells in series Vehicle velocity (km/h) Slope of the road (-) Power split ratio Equivalence ratio for battery fuel consumption (-)

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Lithium-ion batteries life estimation for plug-in hybrid electric vehicles

Cited by 171 publications

References 5 publications

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

The Novel Application of Optimization and Charge Blended Energy Management Control for Component Downsizing within a Plug-in Hybrid Electric Vehicle

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