© 2019 by the authors. This paper presents a real-time energy management strategy to distribute the power demand between two independent motors properly. Based on the characteristics of the novel transmission system, an enumeration-based searching approach is used to hunt for the optimal working points for both motors to maximize the overall efficiency. Like many energy management strategies, approaches that focus on reducing energy consumption can result in frequent gearshifts. To improve drivability and make a balance between energy consumption and gearshifts, a cost function is designed. To verify the effectiveness of the proposed method, a mathematical model is built, and the simulation results demonstrate the achieved improvements
Developing control methods that have the ability to preserve the stability and optimum operation of ...
This paper’s aim is to present the performance of a Bspline neural network controller to regulate th...
A research team developed the University of Texas Fuel Economy Model to estimate the fuel consumptio...
The high penetration of renewable energies will affect the performance of present protection algorit...
To realize the distributed generation and to make the partnership between the dispatchable units and...
The on-going transition to more sustainable energy production methods means that we are moving away ...
Agro-industrialization promotion is a policy option to aggregate value to a primary product and incr...
Atlanta Conference on Science and Innovation Policy 2009This presentation was part of the session : ...
The paper deals with design and control of a fault tolerant and reconfigurable photovoltaic converte...
This paper introduces two advantages of a fuzzy logic controller for the first is stability voltage ...
In 20th century, many countries have liberalized their electricity market. This power markets libera...
Minimizing energy expenditure is one of the main purposes of the managers of pressurized irrigation ...
Fuel –addictive industry is a growing industry in Indonesia. With potential market of 80 million v...
This paper proposes a model-free real-time optimization and control strategy for CO2 transcritical r...
From MDPI via Jisc Publications RouterHistory: accepted 2021-09-14, pub-electronic 2021-09-20Publica...
Developing control methods that have the ability to preserve the stability and optimum operation of ...
This paper’s aim is to present the performance of a Bspline neural network controller to regulate th...
A research team developed the University of Texas Fuel Economy Model to estimate the fuel consumptio...
The high penetration of renewable energies will affect the performance of present protection algorit...
To realize the distributed generation and to make the partnership between the dispatchable units and...
The on-going transition to more sustainable energy production methods means that we are moving away ...
Agro-industrialization promotion is a policy option to aggregate value to a primary product and incr...
Atlanta Conference on Science and Innovation Policy 2009This presentation was part of the session : ...
The paper deals with design and control of a fault tolerant and reconfigurable photovoltaic converte...
This paper introduces two advantages of a fuzzy logic controller for the first is stability voltage ...
In 20th century, many countries have liberalized their electricity market. This power markets libera...
Minimizing energy expenditure is one of the main purposes of the managers of pressurized irrigation ...
Fuel –addictive industry is a growing industry in Indonesia. With potential market of 80 million v...
This paper proposes a model-free real-time optimization and control strategy for CO2 transcritical r...
From MDPI via Jisc Publications RouterHistory: accepted 2021-09-14, pub-electronic 2021-09-20Publica...
Developing control methods that have the ability to preserve the stability and optimum operation of ...
This paper’s aim is to present the performance of a Bspline neural network controller to regulate th...
A research team developed the University of Texas Fuel Economy Model to estimate the fuel consumptio...