The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform

Surinder S Lamba - One of the best experts on this subject based on the ideXlab platform.

  • An Application of Dynamic Programming onto Long Distance Strategic Optimization of Earth Transport Systems Operations, Case Study: Solar/Electric Road Vehicle
    1995
    Co-Authors: Branimir M Brankovic, Surinder S Lamba
    Abstract:

    An application of the dynamic programming optimization technique to the problem of Strategic Operation Optimization (SOO) of Earth Transport Systems (ETS)s with a case study of a Solar/Electric Road Vehicle (SERV) under the race conditions. We have modeled SERV as a member of ETS class. Further, three independent optimization tasks have been identified and two types of SOO problems have been addressed: minimum-time and minimum-energy. We have mathematically formulated the optimization problems by defining a multiple-term criterion compiled mathematically through the weighting factors associated with the physically distinctive subcriteria. We discuss several methods of dynamic programming technique, as they have been applied so far onto the ETS SOO problems. The methods include cost-constraint compromise approach using the state space description of discretized SERV model and algebraic power equation. The resource allocation method setting has been described and, from it, general optimum path solution plotted.

  • A Modification of Newton's Nonlinear Programming Algorithm Applied onto the Earth Transport System Strategic Operation Optimization Problems in Form of Iterative On-line Solution, Case Study: Solar/Electric Road Vehicle
    1995
    Co-Authors: Branimir M Brankovic, Surinder S Lamba
    Abstract:

    A form of the modified Newton's algorithm of nonlinear programming has been proposed in this paper as potentially capable of solving the Strategic Operations Optimization (SOO) problems relevant to the various Earth Transport Systems (ETS). The application has been demonstrated on solar/Electric Road Vehicle under the race conditions. Modeling of the Vehicle and the optimization problem setting have been done from the general ETS SOO standpoint. The analytical conditions under which this method is applicable have been discussed, too. It has been shown that the knowledge of ETS mathematical model would suffice to predetermine the validity of this approach. We have demonstrated the method on the minimum-energy type of SOO problems and have generalized our observations for the minimum-time optimization scenarios, also.

Dirk Uwe Sauer - One of the best experts on this subject based on the ideXlab platform.

  • Electric Road Vehicle battery charging systems and infrastructure
    Advances in Battery Technologies for Electric Vehicles, 2015
    Co-Authors: Benedikt Lunz, Dirk Uwe Sauer
    Abstract:

    An adequate charging infrastructure is important for the market introduction of Electric Vehicles as they have to be recharged almost every day. In this chapter mobility statistics are analyzed to derive requirements on charging infrastructure. Charging infrastructure is classified according to different dimensions and advantages and disadvantages of contrary system solutions are discussed. A discussion of future trends and market forces completes this chapter.

  • On-line self-learning time forward voltage prognosis for lithium-ion batteries using adaptive neuro-fuzzy inference system
    Journal of Power Sources, 2013
    Co-Authors: Christian Fleischer, Wladislaw Waag, Ziou Bai, Dirk Uwe Sauer
    Abstract:

    Abstract The battery management system (BMS) of a battery-Electric Road Vehicle must ensure an optimal operation of the electrochemical storage system to guarantee for durability and reliability. In particular, the BMS must provide precise information about the battery's state-of-functionality, i.e. how much dis-/charging power can the battery accept at current state and condition while at the same time preventing it from operating outside its safe operating area. These critical limits have to be calculated in a predictive manner, which serve as a significant input factor for the supervising Vehicle energy management (VEM). The VEM must provide enough power to the Vehicle's drivetrain for certain tasks and especially in critical driving situations. Therefore, this paper describes a new approach which can be used for state-of-available-power estimation with respect to lowest/highest cell voltage prediction using an adaptive neuro-fuzzy inference system (ANFIS). The estimated voltage for a given time frame in the future is directly compared with the actual voltage, verifying the effectiveness and accuracy of a relative voltage prediction error of less than 1%. Moreover, the real-time operating capability of the proposed algorithm was verified on a battery test bench while running on a real-time system performing voltage prediction.

Davide Lusignani - One of the best experts on this subject based on the ideXlab platform.

  • a fast and lightweight dynamics model oriented to Electric Vehicle design
    Conference of the Industrial Electronics Society, 2017
    Co-Authors: Matteo Dalboni, Dario Mangoni, Francesco Corradini, Alessandro Tasora, Alessandro Soldati, Filippo Savi, Davide Lusignani
    Abstract:

    This paper talks about the creation of fast and lightweight 2D Electric Road Vehicle models in order to design the whole Electric powertrain. Two models are developed. The first one is very essential: it consists of three dynamics, that is full Vehicle dynamics, front wheels dynamics and rear wheels dynamics; basic friction model is used. The second model is more complex: it also takes into account the vertical dynamics; tire is characterized by Pacejka's Magic Formula. These models are then compared with a much more sophisticated Vehicle model, developed through Chrono::Engine (C::E), and validated. Finally, Vehicle dynamics models are connected to an Electric powertrain model to perform the simulation of a driving cycle and estimate the characteristic quantities of the Electric system.

  • IECON - A fast and lightweight dynamics model oriented to Electric Vehicle design
    IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
    Co-Authors: Matteo Dalboni, Dario Mangoni, Francesco Corradini, Alessandro Tasora, Alessandro Soldati, Filippo Savi, Davide Lusignani
    Abstract:

    This paper talks about the creation of fast and lightweight 2D Electric Road Vehicle models in order to design the whole Electric powertrain. Two models are developed. The first one is very essential: it consists of three dynamics, that is full Vehicle dynamics, front wheels dynamics and rear wheels dynamics; basic friction model is used. The second model is more complex: it also takes into account the vertical dynamics; tire is characterized by Pacejka's Magic Formula. These models are then compared with a much more sophisticated Vehicle model, developed through Chrono::Engine (C::E), and validated. Finally, Vehicle dynamics models are connected to an Electric powertrain model to perform the simulation of a driving cycle and estimate the characteristic quantities of the Electric system.

Branimir M Brankovic - One of the best experts on this subject based on the ideXlab platform.

  • An Application of Dynamic Programming onto Long Distance Strategic Optimization of Earth Transport Systems Operations, Case Study: Solar/Electric Road Vehicle
    1995
    Co-Authors: Branimir M Brankovic, Surinder S Lamba
    Abstract:

    An application of the dynamic programming optimization technique to the problem of Strategic Operation Optimization (SOO) of Earth Transport Systems (ETS)s with a case study of a Solar/Electric Road Vehicle (SERV) under the race conditions. We have modeled SERV as a member of ETS class. Further, three independent optimization tasks have been identified and two types of SOO problems have been addressed: minimum-time and minimum-energy. We have mathematically formulated the optimization problems by defining a multiple-term criterion compiled mathematically through the weighting factors associated with the physically distinctive subcriteria. We discuss several methods of dynamic programming technique, as they have been applied so far onto the ETS SOO problems. The methods include cost-constraint compromise approach using the state space description of discretized SERV model and algebraic power equation. The resource allocation method setting has been described and, from it, general optimum path solution plotted.

  • A Modification of Newton's Nonlinear Programming Algorithm Applied onto the Earth Transport System Strategic Operation Optimization Problems in Form of Iterative On-line Solution, Case Study: Solar/Electric Road Vehicle
    1995
    Co-Authors: Branimir M Brankovic, Surinder S Lamba
    Abstract:

    A form of the modified Newton's algorithm of nonlinear programming has been proposed in this paper as potentially capable of solving the Strategic Operations Optimization (SOO) problems relevant to the various Earth Transport Systems (ETS). The application has been demonstrated on solar/Electric Road Vehicle under the race conditions. Modeling of the Vehicle and the optimization problem setting have been done from the general ETS SOO standpoint. The analytical conditions under which this method is applicable have been discussed, too. It has been shown that the knowledge of ETS mathematical model would suffice to predetermine the validity of this approach. We have demonstrated the method on the minimum-energy type of SOO problems and have generalized our observations for the minimum-time optimization scenarios, also.

Matteo Dalboni - One of the best experts on this subject based on the ideXlab platform.

  • a fast and lightweight dynamics model oriented to Electric Vehicle design
    Conference of the Industrial Electronics Society, 2017
    Co-Authors: Matteo Dalboni, Dario Mangoni, Francesco Corradini, Alessandro Tasora, Alessandro Soldati, Filippo Savi, Davide Lusignani
    Abstract:

    This paper talks about the creation of fast and lightweight 2D Electric Road Vehicle models in order to design the whole Electric powertrain. Two models are developed. The first one is very essential: it consists of three dynamics, that is full Vehicle dynamics, front wheels dynamics and rear wheels dynamics; basic friction model is used. The second model is more complex: it also takes into account the vertical dynamics; tire is characterized by Pacejka's Magic Formula. These models are then compared with a much more sophisticated Vehicle model, developed through Chrono::Engine (C::E), and validated. Finally, Vehicle dynamics models are connected to an Electric powertrain model to perform the simulation of a driving cycle and estimate the characteristic quantities of the Electric system.

  • IECON - A fast and lightweight dynamics model oriented to Electric Vehicle design
    IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
    Co-Authors: Matteo Dalboni, Dario Mangoni, Francesco Corradini, Alessandro Tasora, Alessandro Soldati, Filippo Savi, Davide Lusignani
    Abstract:

    This paper talks about the creation of fast and lightweight 2D Electric Road Vehicle models in order to design the whole Electric powertrain. Two models are developed. The first one is very essential: it consists of three dynamics, that is full Vehicle dynamics, front wheels dynamics and rear wheels dynamics; basic friction model is used. The second model is more complex: it also takes into account the vertical dynamics; tire is characterized by Pacejka's Magic Formula. These models are then compared with a much more sophisticated Vehicle model, developed through Chrono::Engine (C::E), and validated. Finally, Vehicle dynamics models are connected to an Electric powertrain model to perform the simulation of a driving cycle and estimate the characteristic quantities of the Electric system.