4 research outputs found
Parametrizaci贸n de modelo de circuito equivalente de polarizaci贸n dual de una celda de ion Litio utilizando la t茅cnica de optimizaci贸n por enjambre de part铆culas modificada.
Context: Battery modeling is an activity that can be complex if techniques based on chemical behavior are employed. Nowadays, there are other strategies to build the modeling as inverse modeling based on experimental curves and adjustments of circuit models. There are different techniques to parameterize the battery modeling based on their complexity, accuracy, and convergence time.
Method: In this paper is used a particle swarm optimization algorithm to parameterize a dual-polarization model for a 18650-lithium cell. The proposed methodology divides the problem into different optimization cases and proposes a localized search strategy based on the experience of the previous particle.
Results: The PSO algorithm allows adjusting the model parameters for each case analyzed. Problem division by stages allows improving the global precision while reducing the convergence times of the algorithm. From possible cases, it is possible to find the dynamics of each of the parameters as a function of the state of charge.
Conclusions: The proposed methodology allows reducing the parameterization times of the dual-polarization model. Due to the approximation generated by the previous experiences, it is possible to decrease the number of the swarm population and further decrease the convergence time of the process. Additionally, the methodology can be used with different optimization algorithms.Contexto: El modelado de bater铆as es una actividad que puede ser compleja si se utilizan t茅cnicas basadas en el comportamiento qu铆mico, para facilitar esto se han utilizado estrategias de modelo inverso que se basan en curvas experimentales y ajustes de modelos circuitales. Para la parametrizaci贸n se utilizan diferentes t茅cnicas que radican en su complejidad, exactitud y tiempo de convergencia.
M茅todo: En este trabajo se utiliza un algoritmo de optimizaci贸n por enjambre de part铆culas para la parametrizaci贸n de un modelo de polarizaci贸n dual para una celda de ion litio de tipo 18650. La metodolog铆a propuesta divide el problema en diferentes casos de optimizaci贸n y propone una estrategia de b煤squeda localizada basada en la experiencia del caso anterior.
Resultados: El algoritmo PSO permite ajustar los par谩metros del modelo para cada uno de los casos analizados. La divisi贸n del problema por casos permite mejorar la precisi贸n global del problema y a su vez disminuir los tiempos de convergencia del algoritmo. A partir de los posibles casos se puede encontrar la din谩mica de cada uno de los par谩metros en funci贸n del estado de carga.
Conclusiones: La metodolog铆a propuesta permite reducir los tiempos de parametrizaci贸n del modelo de polarizaci贸n dual. Debido a la aproximaci贸n generada por las experiencias anteriores, es posible disminuir el n煤mero de la poblaci贸n del enjambre y disminuir a煤n m谩s el tiempo de convergencia del proceso. Adicionalmente, la metodolog铆a puede ser utilizada con diferentes algoritmos de optimizaci贸n
Parametrizaci贸n de modelo de circuito equivalente de polarizaci贸n dual de una celda de ion Litio utilizando la t茅cnica de optimizaci贸n por enjambre de part铆culas modificada.
Contexto: El modelado de bater铆as es una actividad que puede ser compleja si se utilizan t茅cnicas basadas en el comportamiento qu铆mico, para facilitar esto se han utilizado estrategias de modelo inverso que se basan en curvas experimentales y ajustes de modelos circuitales. Para la parametrizaci贸n se utilizan diferentes t茅cnicas que radican en su complejidad, exactitud y tiempo de convergencia.
M茅todo: En este trabajo se utiliza un algoritmo de optimizaci贸n por enjambre de part铆culas para la parametrizaci贸n de un modelo de polarizaci贸n dual para una celda de ion litio de tipo 18650. La metodolog铆a propuesta divide el problema en diferentes casos de optimizaci贸n y propone una estrategia de b煤squeda localizada basada en la experiencia del caso anterior.
Resultados: El algoritmo PSO permite ajustar los par谩metros del modelo para cada uno de los casos analizados. La divisi贸n del problema por casos permite mejorar la precisi贸n global del problema y a su vez disminuir los tiempos de convergencia del algoritmo. A partir de los posibles casos se puede encontrar la din谩mica de cada uno de los par谩metros en funci贸n del estado de carga.
Conclusiones: La metodolog铆a propuesta permite reducir los tiempos de parametrizaci贸n del modelo de polarizaci贸n dual. Debido a la aproximaci贸n generada por las experiencias anteriores, es posible disminuir el n煤mero de la poblaci贸n del enjambre y disminuir a煤n m谩s el tiempo de convergencia del proceso. Adicionalmente, la metodolog铆a puede ser utilizada con diferentes algoritmos de optimizaci贸n
Methodology for the Estimation of Electrical Power Consumed by Locomotives on Undocumented Railroad Tracks
The energy consumption estimation of a locomotive for a particular route is important for the selection of a locomotive technology, the improvement of the energy management system, the evaluation of the locomotive’s potential energy generation, among others. The methodologies reported in the literature usually assume that the information of the railway track is available; however, in some cases, the track information is incomplete, not available, or the route is still in a planning stage. Therefore, this paper proposes a methodology to estimate the energy consumption and the potential energy generation of a locomotive when the railway track information is not available or incomplete. The methodology begins by extracting the main technical information of the locomotive to be analyzed. Then, the route is traced on Google Earth with steps of 100 m and the obtained information is processed to generate the longitude, latitude, elevation, and distance of the points along the route. From such information, it is possible to generate the slope and curvature profiles, while the speed profile can be obtained from the track operator or the regulations of a specific country. With that information, it is possible to estimate the equivalent power of the locomotive at each point of the route to finally calculate the consumed energy. The proposed methodology is validated with two case studies. The first one compares the results with a methodology available in the literature for the same route and locomotive, while the second case shows the applicability of the proposed methodology for a route without information
Methodology for the Estimation of Electrical Power Consumed by Locomotives on Undocumented Railroad Tracks
The energy consumption estimation of a locomotive for a particular route is important for the selection of a locomotive technology, the improvement of the energy management system, the evaluation of the locomotive鈥檚 potential energy generation, among others. The methodologies reported in the literature usually assume that the information of the railway track is available; however, in some cases, the track information is incomplete, not available, or the route is still in a planning stage. Therefore, this paper proposes a methodology to estimate the energy consumption and the potential energy generation of a locomotive when the railway track information is not available or incomplete. The methodology begins by extracting the main technical information of the locomotive to be analyzed. Then, the route is traced on Google Earth with steps of 100 m and the obtained information is processed to generate the longitude, latitude, elevation, and distance of the points along the route. From such information, it is possible to generate the slope and curvature profiles, while the speed profile can be obtained from the track operator or the regulations of a specific country. With that information, it is possible to estimate the equivalent power of the locomotive at each point of the route to finally calculate the consumed energy. The proposed methodology is validated with two case studies. The first one compares the results with a methodology available in the literature for the same route and locomotive, while the second case shows the applicability of the proposed methodology for a route without information