Bedatri Moulik

Combined Voltage-Current Control of DC/DC Converters for Power Management of a Multi-Power Source Hybrid With HIL Tests

Rising fuel prices and fast depletion of energy resources have led to an increasing interest in green technology. Hybrid vehicles due to their ability to draw power from multiple energy sources are a preferred option. Although the components such as supercapacitors, batteries, internal combustion engine, or a fuel cell, generally needed to realize a hybrid topology are known, the topology of their arrangement and realization by interchanging the components and combining different power sources, needs to be studied. In this paper, various hybrid powertrain configurations in combination with different storage elements are compared and a suitable control and power management strategy for a multi-power source powertrain system is implemented using a scalable test rig. In order to validate the component design and topology, Hardware-in-the-Loop (HiL) tests are carried out with the help of an emulator set-up.Copyright

Size and Parameter Adjustment of a Hybrid Hydraulic Powertrain Using a Global Multi-Objective Optimization Algorithm

In this paper a new approach is developed to optimize the engine and hydraulic element size and their corresponding parameters of a hybrid hydraulic powertrain to given or assumed load/driving cycles. A multi objective optimization algorithm in combination with boundary condition regulation is applied in a loop. In addition, a new mixed optimization algorithm is proposed to overcome the problem of power management optimization by obtaining a better spread of solutions. The main contribution of the paper is the optimal selection of the motor and accumulator size thereby ensuring optimal vehicle dynamic and power consumption properties to different accumulator and engine sizes.

Optimized Powermanagement for Human Driver-HEV Using Online Identification of Velocity Patterns

Inspite of the advances in hybrid electric vehicles (HEVs), most powermanagement and optimization techniques are developed for predefined driving cycles. In this contribution, an optimal solution for the future is provided, which encompasses multiple aspects of HEV control. A new embedded-online optimization approach is considered. Instead of carrying out online powermangement optimization with computationally extensive algorithms, the entire task is divided into two parts: an offline part where optimal parameters for different velocity values of a human driver are recorded, an online part where these parameters along with identification and prediction algorithms are used to display the optimal information to the driver online. The online display of results where a real human influences the HEV by driving via a real-time interface show the applicability of this approach.

Towards Interactive Driver Assistance System to Realize a Safe and an Efficient Driving

Human interactions are related to the possibility to fail. Making errors or acting non optimal is strongly connected to the nature of the human being. The causes of errors resulting in preparation for and during interaction may be manifold. In case of formalizable interaction environments an action-discrete modeling approach can be used, distinguishing situations and operators describing formalizable scenes and related actions. The incomplete understanding of the situation is one of the reasons making errors. For successful interaction several options to get the final goal situation are often possible. As example, during driving, the current situation may confuse the driver to make the right decision. The driver may have the possibility to achieve the goal in optimal manner. Using an assistance system, the driver- vehicle interaction is studied based on the developed Situation-Operator-Modeling (SOM) approach. With the help of SOM, a situated action space is built to predict the intention of the human driver and to identify the optimal action sequence according to the given goal. The human driver can be warned when the detected intention includes dangerous elements or may lead to dangerous situations. The predicted next optimal action with corresponding goal can be displayed to improve the situation awareness and to realize a more reliable human-machine-interaction. An appropriately designed interface will close the loop between the human driver, the driving system, and the environment. After perceiving the displayed suggestion, the human driver may make decision whether to follow the instruction. The paper focuses on the establishment of the theoretical concepts introducing a qualitative and quantitative concept to integrate the vehicle, human driver, and interface as a loop to realize a safe and efficient drive.

Online Powermanagement With Embedded Optimization for a Multi-Source Hybrid With Dynamic Power Sharing Between Components

The need for the development of online powermanagement strategies applicable to real-time hybrid powertrain systems is an important issue in the transportation sector. A powermanagement strategy alone does not necessarily ensure optimal power distribution amongst the drive train components. Thus optimization of powemanagement is another task which needs to be considered in terms of multiple objectives. Apart from online applicability of powermanagement optimization, a consideration of useful combinations of drivetrain components such as two storage elements together with a primary source may also be useful. In this contribution, an online powermanagement strategy is applied to a three-source hybrid electric powertrain. An optimization of controller parameters with embedded-online optimization is proposed.Copyright

Li-O Battery Aging Process: A Comprehensive Review With Respect to the Integration of Aging Into System’s Powermanagement

Intensive development of hybrid electric vehicles in recent years is conditioned by ecological requirements reflecting in the reduction of greenhouse gas emission and by the limitation of the use of fossil fuel. Lithium-Ion Batteries (LIBs) become unavoidable component serving as an energy storage element in transportation industry as well as in solar and wind energy systems. The problems related to battery state monitoring in hybrid electric vehicles refer to the estimation of immeasurable degradation parameters. Concerning existing literature, the measurements indirectly correlated to the deterioration process are used for the calculation of degradation parameters. Special attention is given to LIB parameters related to battery aging such as capacity fade and internal resistance increase. Existing approaches to these parameters estimation/calculation concern no direct measurement of degradation parameters. Indirect relations can be established assuming suitable assumptions. The contribution addresses the main issues related to LIB parameters monitoring as well as to the adopted control strategy providing high energy efficiency while maintaining as less as possible rate of component degradation.Copyright