Aging and Characterization of Li-Ion Batteries in a HEV Application for Lifetime Estimation

Spagnol, Pierfrancesco; Onori, Simona; Madella, Nullo; Guezennec, Yann; Neal, John A.

doi:10.3182/20100712-3-de-2013.00186

Cited by 37 publications

(21 citation statements)

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“…The model was parametrized with the experimental data published in [7] and [8], which was developed under the HEV operating conditions. The details of the HEV battery aging model are illustrated in [9].…”

Section: Problem Formulationmentioning

confidence: 99%

Optimal energy management of HEVs with consideration of battery aging

Tang

Rizzoni

Onori³

2014

2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)

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This paper presents an optimal control-based energy management strategy for a parallel hybrid electric vehicle (HEV). This strategy not only seeks to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bounds, but also seeks to minimize wear of the battery and extend its life. This multi-objective optimal control problem is solved numerically using Pontryagin's Minimum Principle (PMP).

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Section: Problem Formulationmentioning

confidence: 99%

Optimal energy management of HEVs with consideration of battery aging

Tang

Rizzoni

Onori³

2014

2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)

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“…However, studies on the estimation of battery life for Liion batteries in PHEV applications have acknowledged the importance of two aging factors, namely temperature and SOC/Depth of Discharge (DoD) [1], [2], [3], [4], [5]. Such factors are typically indirectly controlled or driven by the vehicle usage patterns, charging scenarios, battery pack sizing, vehicle control strategy, environmental factors and battery pack thermal management.…”

Section: Introductionmentioning

confidence: 99%

Model-based life estimation of Li-ion batteries in PHEVs using large scale vehicle simulations: An introductory study

Filippi

Stockar

Onori

et al. 2010

2010 IEEE Vehicle Power and Propulsion Conference

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Plug-In Hybrid Electric Vehicles (PHEVs) are a promising mid-term solution to reduce the energy demand in the personal transportation sector, due to their ability of storing energy in the battery through direct connection to the electrical grid. However, an important aspect to a successful market acceptability for these vehicles is related to the reliability of the energy storage system.In this scenario, various studies have attempted at investigating the effects of current/power demand, calendar life and operating temperature on battery life, as well as estimating the residual life of the battery under various operating conditions. This paper illustrates the preliminary results of a comprehensive study on Li-ion battery life estimation for PHEVs, predicting their residual life under real-world driving conditions. The methodology adopted is based on both deterministic and stochastic simulations to investigate the effects of electrical and thermal loading on the battery life. To this end, an electrothermal battery model, inclusive of thermal dynamics and residual life estimation, is developed and utilized in conjunction with a vehicle model, a supervisory controller for PHEV energy management and real-world driving scenarios.Within this framework, the proposed study addresses the impact of the PHEV control parameters on the battery life, namely the vehicle operating modes (charge depleting or charge sustaining), and constraints on the State of Charge (SoC).

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“…The quantity Γ is constant for a given battery. According to literature [23] (Serrao et al) and [24] (Spagnol et al), the equivalent battery life is represented as:…”

Section: Electric Systemmentioning

confidence: 99%

Research on a Novel Hydraulic/Electric Synergy Bus

et al. 2017

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Abstract:In recent years, increasing concerns regarding environmental pollution and requirements for lower fossil fuel consumption have increased interest in alternative hybrid powertrains. As a result, this paper presents a novel hydraulic/electric synergy powertrain with multiple working modes. The three energy sources (i.e., engine, battery, and hydraulic accumulator) in this configuration are regulated by a dual planetary gear set to achieve optimal performances. This paper selects the component sizes of a hybrid electric vehicle (HEV), a hydraulic hybrid vehicle (HHV), and a hydraulic/electric synergy vehicle (HESV), based on the dynamic performance of a target vehicle (TV). In addition, this paper develops the forward simulation models of the four aforementioned vehicles in the MATLAB/Simulink/Driveline platform, in which the fuel economy simulations are carried out in relation to the Chinese urban bus cycle. The simulation results show that the fuel consumption of the three hybrid vehicles is similar, but much better than, that of the TV. Finally, based on the operating cost calculations over a five-year working period, the lowest cost ranges of the three hybrid vehicles are determined, which provides a method for choosing the optimal hybrid scheme.

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Aging and Characterization of Li-Ion Batteries in a HEV Application for Lifetime Estimation

Cited by 37 publications

References 1 publication

Optimal energy management of HEVs with consideration of battery aging

Optimal energy management of HEVs with consideration of battery aging

Model-based life estimation of Li-ion batteries in PHEVs using large scale vehicle simulations: An introductory study

Research on a Novel Hydraulic/Electric Synergy Bus

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