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The paper describes the estimation of parameters of battery model at various temperatures for the Li-ion battery. The estimation of parameters employs experimental methods that are time-consuming, expensive and require high computational power. Hence, second-order RC network equivalent circuit model parameters estimation is done using GA, PSO, and DE optimization techniques. For proper evaluation,...
To improve both the operating performance and cycle life of batteries in battery electric vehicles requires a battery model that can influence fidelity behavior of the battery under different conditions. Hence, two commonly used equivalent circuit battery models (first-order and second-order RC) are tested using GA, PSO, and ASMO optimization techniques. The paper describes the estimation of parameters...
This paper describes the parametrization and comparison of dynamic battery models for Li-ion battery. The estimation of battery parameters deploys experimental methods that are expensive, require high computational power and are time-consuming. Hence, two commonly used equivalent circuit battery models are tested using GA, PSO, ASMO and DE optimization techniques. Estimation has been done by the estimated...
This work describes the receding horizon control of an inside air temperature of greenhouse using the grey wolf optimization algorithms based on constraints on manipulative variables. Its performance being compared with that of Genetic algorithm and Particle swarm optimization. Classical control methods are difficult to implement for greenhouse air temperature control problem because of high nonlinear...
In the recent years, the internet has become one of the most important resource of information. Whenever a user poses a query to the Meta-search engine then a large number of documents are retrieved from underlying search engines, but providing the rank list of relevant documents with respect to the user query is one of the most challenging tasks for any Meta-search engine. In this paper, we propose...
The web becomes a huge resource of information. The people all over the world use the web on a regular basis and the number of users is increasing rapidly. Whenever a user needs to retrieve the information on the web, the information need of the user is stored in databases of the different underlying search engine. It is very challenging task to identify most relevant underlying search engine that...
Circuit Partitioning generally formulated as graph partitioning problem is an important step in physical design of circuits. The use of Evolutionary techniques is increasingly used to solve NP complete problems i.e. Applications for logic minimization and simulation heuristics. This paper explores the evolutionary approach of genetic algorithm and propose a hybrid technique involving the strengths...
Vehicular Ad-hoc Network (VANET) is a most critical class of mobile ad-hoc network (MANET) that enables roadside vehicles to intelligently interact with one another and with outside infrastructure anytime anywhere in the global network. The paper focuses on routing in VANETs. In this paper, genetic algorithm is applied to improve the routing and genetic algorithm finds the highly optimal (shortest)...
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