Scipediacontent: Scipediacontent moved page Draft Content 656003434 to Song et al 2011a

2021-02-12T14:09:42Z

Scipediacontent moved page Draft Content 656003434 to Song et al 2011a

Scipediacontent: Created page with " == Abstract == Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we pr..."

2021-02-12T14:09:39Z

Created page with " == Abstract == Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we pr..."

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== Abstract ==

Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we propose a fast charge framework based on model predictive control, with the aim of simultaneously reducing the charge duration, which represents the out-of-service time of vehicles, and the increase in temperature, which represents safety and energy efficiency during the charge process. The RC model is employed to predict the future State of Charge (SOC). A single mode lumped-parameter thermal model and a neural network trained by real experimental data are also applied to predict the future temperature in simulations and experiments respectively. A genetic algorithm is then applied to find the best charge sequence under a specified fitness function, which consists of two objectives: minimizing the charging duration and minimizing the increase in temperature. Both simulation and experiment demonstrate that the Pareto front of the proposed method dominates that of the most popular constant current constant voltage (CCCV) charge method.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_656003434-beopen489-4706-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/en4081178 http://dx.doi.org/10.3390/en4081178] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/1996-1073/4/8/1178/pdf https://www.mdpi.com/1996-1073/4/8/1178/pdf] under the license http://creativecommons.org/licenses/by/3.0/

* [http://www.mdpi.com/1996-1073/4/8/1178 http://www.mdpi.com/1996-1073/4/8/1178],
: [https://doaj.org/toc/1996-1073 https://doaj.org/toc/1996-1073] under the license cc-by

* [http://www.mdpi.com/1996-1073/4/8/1178/pdf http://www.mdpi.com/1996-1073/4/8/1178/pdf],
: [http://dx.doi.org/10.3390/en4081178 http://dx.doi.org/10.3390/en4081178]

* [http://www.mdpi.com/1996-1073/4/8/1178/pdf http://www.mdpi.com/1996-1073/4/8/1178/pdf],
: [http://www.mdpi.com/1996-1073/4/8/1178 http://www.mdpi.com/1996-1073/4/8/1178] under the license https://creativecommons.org/licenses/by/4.0/

* [https://www.mdpi.com/1996-1073/4/8/1178/htm https://www.mdpi.com/1996-1073/4/8/1178/htm],
: [https://www.mdpi.com/1996-1073/4/8/1178/pdf https://www.mdpi.com/1996-1073/4/8/1178/pdf],
: [https://ideas.repec.org/a/gam/jeners/v4y2011i8p1178-1196d13603.html https://ideas.repec.org/a/gam/jeners/v4y2011i8p1178-1196d13603.html],
: [https://econpapers.repec.org/RePEc:gam:jeners:v:4:y:2011:i:8:p:1178-1196:d:13603 https://econpapers.repec.org/RePEc:gam:jeners:v:4:y:2011:i:8:p:1178-1196:d:13603],
: [https://academic.microsoft.com/#/detail/1974538772 https://academic.microsoft.com/#/detail/1974538772]

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Song et al 2011a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 656003434 to Song et al 2011a

Scipediacontent: Created page with " == Abstract == Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we pr..."