Influence of control strategies on battery/supercapacitor hybrid Energy Storage Systems for traction applications

Allegre, A. L.; Bouscayrol, Alain; Trigui, Rochdi

doi:10.1109/vppc.2009.5289849

Cited by 98 publications

(48 citation statements)

References 21 publications

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“…A variety of on-line strategies are discussed in the literature, such as the "all or nothing" control strategy [17], the rule-based control strategy [5], the filtrationbased strategy [18], the model predictive control strategy [19], and the fuzzy logic control strategy [19]. The last four strategies were tuned and compared using the China Bus Driving Cycle (CBDC), with the results provided in Ref.…”

Section: Introductionmentioning

confidence: 99%

A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles

Song

Hofmann

et al. 2015

Journal of Power Sources

172

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Section: Introductionmentioning

confidence: 99%

A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles

Song

Hofmann

et al. 2015

Journal of Power Sources

172

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“…There are many storage technologies -such as batteries and fuel-cells -with different characteristics (maximal stored energy, maximal current, weight, and cost). Several works [7,3,1,9] study the possibility of coupling different storage technologies to improve the system operation. Some types of storage are better to respond to instant demands of power while other have better results for long-term demands.…”

Section: The Energy Storagementioning

confidence: 99%

Integration of physical models in the ORQA framework for electric vehicle energy management

Tchakaloff

Saudrais

Babau

2014

Proceedings of the 19th International Doctoral Symposium on Components and Architecture

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The energy management of electric vehicles is located in the storage system. It considers only the storage physical constituents and adapts the demand of the drive-chain technologies but is blind to other parts of the vehicle. Furthermore it has a very focused approach -to optimise the vehicle movement -and misses the driver's pragmatical needs. ORQA is a framework dedicated to the modelling of the vehicle consuming devices complementing the embedded systems models. It characterises each consuming device by its energetic needs and the quality levels it offers from a driver perspective. ORQA is realised by a system-level energy manager which looks for a driving strategy matching the driver needs and constraints. As the components used in ORQA are generic devices, the consumption of the devices is an approximation of their real consumptions. This paper presents the adaptation of the ORQA framework to have a closer estimation of the consuming devices. We propose the use of physical models issued from mechatronic systems for the main devices, drive-chain and energy storage, and discuss the benefits and constraints.

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“…Batteries could be completely replaced in electric buses (where a quick charge could be made in every stop), or can be combine with ultracapacitors avoiding oversizing the batteries [9], [10]. In addition, ultracapacitors facilitate energy harvesting during braking [11].…”

Section: ) Hybrid and Pure Electric On-road Vehiclesmentioning

confidence: 99%

An overview of ultracapacitors applicability in high power applications

López¹,

Martín²,

Alegría³

et al. 2013

REPQJ

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Abstract.Ultracapacitors are entering into applications dominated by batteries. The complementary features of ultracapacitors and batteries may allow in certain applications to combine them enhancing the performance of the overall energy storage system. In other applications, the advantages of ultracapacitors may allow to completely displaced batteries avoiding some of its drawbacks. Determined key issues and weaknesses of ultracapacitors are being intensively researched, leading to a greater applicability of ultracapacitors.

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Influence of control strategies on battery/supercapacitor hybrid Energy Storage Systems for traction applications

Cited by 98 publications

References 21 publications

A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles

A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles

Integration of physical models in the ORQA framework for electric vehicle energy management

An overview of ultracapacitors applicability in high power applications

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