Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles

Onori, Simona; Serrao, Lorenzo; Rizzoni, Giorgio

doi:10.1115/dscc2010-4211

Cited by 167 publications

(115 citation statements)

References 13 publications

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“…For example, the method proposed in [17] recognizes the fact that the effect of the initial value s(0) affects the behavior during the entire optimization horizon; thus, the overall horizon is divided into smaller sections and the initial value is modified at the beginning of each section using SOC feedback, in order to reach the desired SOC target after several sections.…”

Section: A Case A: Aging Is Not Taken Into Accountmentioning

confidence: 99%

Optimal energy management of hybrid electric vehicles including battery aging

Serrao

Onori

Sciarretta

et al. 2011

Proceedings of the 2011 American Control Conference

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144

105

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The paper presents a methodology to account for battery aging in the energy management strategy for a hybrid electric vehicle. An optimal control problem is formulated to minimize fuel consumption as well as battery aging, using recently developed methods for battery lifetime modeling. The approach relies on the concept of severity factor map, a tool used to quantify the aging effects of a battery due to its different on-vehicle operating conditions. The optimal control problem is solved using Pontryagin's Minimum Principle, showing with simulations the effect of the new control approach compared to the standard energy management strategies.

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Section: A Case A: Aging Is Not Taken Into Accountmentioning

confidence: 99%

Optimal energy management of hybrid electric vehicles including battery aging

Serrao

Onori

Sciarretta

et al. 2011

Proceedings of the 2011 American Control Conference

Self Cite

144

105

View full text Add to dashboard Cite

show abstract

“…Other online adaptation methods were also devised, including methods based on driving cycle prediction [10], on driving pattern recognition [11] or SOC-feedback based on driving cycle sections [12]. The off line implementation is normally referred to as PMP, while the online implementation is denoted as ECMS (Equivalent Consumption Minimization Strategy), or sometimes adaptive ECMS to (2) The effective battery discharge is different than the net electrical energy supplied by the battery, because of the battery efficiency, which makes the electrochemical power higher than the electric power during discharge and lower during charge.…”

Section: Optimal Control Solutionmentioning

confidence: 99%

Open Issues in Supervisory Control of Hybrid Electric Vehicles: A Unified Approach Using Optimal Control Methods

Serrao

Sciarretta

Grondin

et al. 2013

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Résumé -Questions ouvertes sur la supervision énergétique des véhicules hybrides électriques : une approche unifiée par la théorie de la commande optimale -Cet article a pour objet la gestion optimale de l'énergie pour un système de propulsion hybride. Le problème traditionnel de répartition de la puissance est modifié avec des nouveaux objectifs d'optimisation et des nouvelles contraintes. Les nouveaux objectifs d'optimisation incluent les émissions de polluants et le vieillissement de la batterie. Les contraintes sont modifiées pour prendre en compte des batteries à recharge externe (hybrides plug-in). De plus, des problèmes spécifiques sont traités avec une modélisation plus détaillée, qui comprend : les dynamiques thermiques du moteur à combustion interne et du catalyseur, pour prendre en compte les effets du démarrage à froid ; les dynamiques thermiques des systèmes de récupération de la chaleur à l'échappement ; la température de la batterie, qui a un effet sur ses performances et son vieillissement. L'article montre comment tous ces problèmes peuvent être traités de façon cohé-rente avec une extension de l'approche ECMS (Equivalent Consumption Minimization Strategy, ou stratégie de minimisation de la consommation équivalente), qui est une implémentation du principe du minimum de Pontryagin formulé dans la théorie de la commande optimale. Des définitions étendues de la fonction Hamiltonienne et des multiplicateurs de Lagrange sont présentées, ainsi que les résultats des optimisations illustrant les bénéfices de cette approche unifiée et ses limites dans l'implémentation en ligne.

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“…To this extent, an additional correction is applied, based on a SOC feedback (Onori, Serrao, & Rizzoni, 2010). The correction is represented by a proportional term in Eq.…”

Section: Design Of Adaptive Pmp Control Strategymentioning

confidence: 99%

A model-based supervisory energy management strategy for a 12 V vehicle electrical system

Waldman

Gurusubramanian

Fiorentini

et al. 2015

Control Engineering Practice

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a b s t r a c tThis paper describes the development, implementation, and experimental verification of a supervisory energy management strategy for the vehicle electrical system of a passenger car. The control strategy commands the alternator duty cycle such that vehicle fuel economy is optimized whilst the instantaneous load current demand is met and constraints on the system voltage and battery state of charge are satisfied.The work is based on a control-oriented model of the vehicle electrical system, experimentally validated against vehicle data. Then, a constrained global optimal control problem is formulated for the energy management of the electrical system, and analytically solved using the Pontryagin's Minimum Principle (PMP). The optimal solution obtained is evaluated for a range of different driving cycles and electrical load current profiles, leading to the formulation of an adaptive supervisory control strategy that is implemented and tested in vehicle.

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Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles

Cited by 167 publications

References 13 publications

Optimal energy management of hybrid electric vehicles including battery aging

Optimal energy management of hybrid electric vehicles including battery aging

Open Issues in Supervisory Control of Hybrid Electric Vehicles: A Unified Approach Using Optimal Control Methods

A model-based supervisory energy management strategy for a 12 V vehicle electrical system

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