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Articles 10351 - 10380 of 21775
Full-Text Articles in Engineering
Real Time Implementation Of An Artificial Immune System Based Controller For A Dstatcom In An Electric Ship Power System, Pinaki Mitra, Ganesh K. Venayagamoorthy
Real Time Implementation Of An Artificial Immune System Based Controller For A Dstatcom In An Electric Ship Power System, Pinaki Mitra, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
A new adaptive control strategy based on artificial immune system (AIS) for a DSTATCOM in an electric ship power system is presented in this paper. DSTATCOM is a shunt compensation device, which can be used to improve the power quality during the pulse power requirements in a naval shipboard system. The role of DSTATCOM controller is very important to meet this objective. In this paper, the DSTATCOM controller parameters are first tuned by particle swarm optimization (PSO) technique, so that it can provide innate immunity to common system disturbances. Then, these optimum parameters are modified online by an artificial immune …
Work In Progress -- Instrumentation On A Truss Adapted For Pre-College Outreach, Amy K. Perrey, Steve Eugene Watkins, Ralph E. Flori, Theresa M. Swift
Work In Progress -- Instrumentation On A Truss Adapted For Pre-College Outreach, Amy K. Perrey, Steve Eugene Watkins, Ralph E. Flori, Theresa M. Swift
Electrical and Computer Engineering Faculty Research & Creative Works
Engineering content is a valuable addition to pre-college instruction in science, technology, engineering, and mathematics (STEM) since it applies scientific concepts, illustrates scientific relevance and technology, and provides measurement opportunities. Also, complex systems and interactions can be shown. This work describes outreach resources using a seven-member instrumented truss apparatus. This aluminum bench-top model is scaled to support up to fifty pounds. Electrical resistance gauges are installed on several members for strain measurement. The resource set includes the truss apparatus, instrumentation, a PowerPoint presentation, and a background document. The pre-college objective is a set of demonstration resources for middle or high …
Decision Theory On Dynamic Domains Nabla Derivatives And The Hamilton-Jacobi-Bellman Equation, John E. Seiffertt Iv, Donald C. Wunsch, Suman Sanyal
Decision Theory On Dynamic Domains Nabla Derivatives And The Hamilton-Jacobi-Bellman Equation, John E. Seiffertt Iv, Donald C. Wunsch, Suman Sanyal
Electrical and Computer Engineering Faculty Research & Creative Works
The time scales calculus, which includes the study of the nabla derivatives, is an emerging key topic due to many multidisciplinary applications. We extend this calculus to Approximate Dynamic Programming. In particular, we investigate application of the nabla derivative, one of the fundamental dynamic derivatives of time scales. We present a nabla-derivative based derivation and proof of the Hamilton-Jacobi-Bellman equation, the solution of which is the fundamental problem in the field of dynamic programming. By drawing together the calculus of time scales and the applied area of stochastic control via Approximate Dynamic Programming, we connect two major fields of research.
Eliminating Via-Plane Coupling Using Ground Vias For High-Speed Signal Transitions, Songping Wu, Xin Chang, Christian Schuster, Xiaoxiong Gu, Jun Fan
Eliminating Via-Plane Coupling Using Ground Vias For High-Speed Signal Transitions, Songping Wu, Xin Chang, Christian Schuster, Xiaoxiong Gu, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
When a high-speed signal transits through a via that penetrates a plane pair, parallel-plane resonances can cause additional insertion loss for the signal. To eliminate this via-plane coupling, ground vias are added adjacent to the signal via. This paper discusses the impact of the ground vias as a function of the number of the ground vias, their locations, and the size of the plane pair. A block-by-block physics-based equivalent circuit modeling approach is used in the study. The underlying physics of the phenomenon and the design implications are also discussed in the paper.
Joint Adaptive Distributed Rate And Power Control For Wireless Networks, James W. Fonda, Jagannathan Sarangapani, Steve Eugene Watkins
Joint Adaptive Distributed Rate And Power Control For Wireless Networks, James W. Fonda, Jagannathan Sarangapani, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
A novel adaptive distributed rate and power control (ADRPC) protocol is introduced for wireless networks. The proposed controller contrasts from others by providing nonlinear compensation to the problem of transmission power and bit-rate adaptation. The protocol provides control of both signal-to-interference ratio (SIR) and quality-of-service (QoS) support to bit-rate adaptation. Bit-rate adaptation is performed by local estimation of congestion levels, rendering little packet overhead, using Lyapunov based adaptive control methods. Performance of the proposed control scheme is shown through analytical proof and simulation examples.
Real-Time Implementation Of Intelligent Modeling And Control Techniques On A Plc Platform, Curtis Alan Parrott, Ganesh K. Venayagamoorthy
Real-Time Implementation Of Intelligent Modeling And Control Techniques On A Plc Platform, Curtis Alan Parrott, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Programmable logic controllers (PLCs) have been used for many decades for standard control in industrial and factory environments. Over the years, PLCs have become computational efficient and powerful, and a robust platform with applications beyond the standard control and factory automation. Due to the new advanced PLC's features and computational power, they are ideal platforms for exploring advanced modeling and control methods, including computational intelligence based techniques such as neural networks, particle swarm optimization (PSO) and many others. Some of these techniques require fast floating-point calculations that are now possible in real-time on the PLC. This paper focuses on the …
Adaptive Control Of Freeze-Form Extrusion Fabrication Processes, Xiyue Zhao, Robert G. Landers, Ming-Chuan Leu
Adaptive Control Of Freeze-Form Extrusion Fabrication Processes, Xiyue Zhao, Robert G. Landers, Ming-Chuan Leu
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Freeze-form Extrusion Fabrication (FEF) is an additive manufacturing process that extrudes high solids loading aqueous ceramic pastes in a layer-by-layer fashion below the paste freezing temperature for component fabrication. Due to effects such as the air bubble release, agglomerate breakdown, change in paste properties during extrusion as a result of liquid phase migration, etc., the extrusion force is difficult to control. In this paper, an adaptive controller is proposed to regulate the extrusion force. Recursive Least Squares is used to estimate extrusion force model parameters during fabrication and a low-order control scheme capable of tracking general reference trajectories is designed …
Ala Spotlight Series V.2, James D. Sterling
Ala Spotlight Series V.2, James D. Sterling
Business and Information Technology Faculty Research & Creative Works
No abstract provided.
New Power Quality Index In A Distribution Power System By Using Rmp Model, Soon Lee, Jung-Wook Park, Ganesh K. Venayagamoorthy
New Power Quality Index In A Distribution Power System By Using Rmp Model, Soon Lee, Jung-Wook Park, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a new power quality index (PQI), which is directly related to the generation of distortion power from nonlinear harmonic loads, is introduced to determine their harmonic pollution ranking in a distribution power system. The electric load composition rate (LCR) and the total harmonic distortion (THD) for the estimated currents on each harmonic load are used to define the proposed PQI. The reduced multivariate polynomial (RMP) model with one-shot training property is applied to realize the PQI. Then, the ranking of distortion power for each nonlinear load, which have adverse effect on the entire system, is determined. It …
An Atc-63 Study In Support Of The Proposed System Performance Factors For Aisi S110 Standard For Seismic Design Of Cold-Formed Steel Structures: Special Bolted Moment Frames, American Iron And Steel Institute
An Atc-63 Study In Support Of The Proposed System Performance Factors For Aisi S110 Standard For Seismic Design Of Cold-Formed Steel Structures: Special Bolted Moment Frames, American Iron And Steel Institute
American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)
No abstract provided.
Hardware Implementation Of An Ais-Based Optimal Excitation Controller For An Electric Ship, Chuan Yan, Ganesh K. Venayagamoorthy, Keith Corzine
Hardware Implementation Of An Ais-Based Optimal Excitation Controller For An Electric Ship, Chuan Yan, Ganesh K. Venayagamoorthy, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
The operation of high energy loads on Navy's future electric ships, such as directed energy weapons, will cause disturbances in the main bus voltage and impact the operation of the rest of the power system when the pulsed loads are directly powered from the main dc bus. This paper describes an online design and laboratory hardware implementation of an optimal excitation controller using an artificial immune system (AIS) based algorithm. The AIS algorithm, a clonal selection algorithm (CSA), is used to minimize the effects of pulsed loads by improved excitation control and thus, reduce the requirement on energy storage device …
High Bandwidth Control Of Precision Motion Instrumentation, Douglas A. Bristow, Jingyan Dong, Andrew G. Alleyne, Srinivasa M. Salapaka, Placid M. Ferreira
High Bandwidth Control Of Precision Motion Instrumentation, Douglas A. Bristow, Jingyan Dong, Andrew G. Alleyne, Srinivasa M. Salapaka, Placid M. Ferreira
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This article presents a high-bandwidth control design suitable for precision motion instrumentation. Iterative learning control (ILC), a feedforward technique that uses previous iterations of the desired trajectory, is used to leverage the repetition that occurs in many tasks, such as raster scanning in microscopy. Two ILC designs are presented. The first design uses the motion system dynamic model to maximize bandwidth. The second design uses a time-varying bandwidth that is particularly useful for nonsmooth trajectories such as raster scanning. Both designs are applied to a multiaxis piezoelectric-actuated flexure system and evaluated on a nonsmooth trajectory. The ILC designs demonstrate significant …
Work In Progress -- Balancing Prescribed And Project-Based Experiences In Microfabrication Laboratories, Chang-Soo Kim, Steve Eugene Watkins
Work In Progress -- Balancing Prescribed And Project-Based Experiences In Microfabrication Laboratories, Chang-Soo Kim, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
Student education for microfabrication processes needs to integrate theoretical understanding with process understanding. Instructional challenges exist in designing effective laboratory experiences. The pedagogical issues include linking theoretical lecture concepts to cost-effective laboratories, tailoring the relative time between lectures and laboratories, and balancing the laboratory assignments between prescribed and project-based experiences. We describe the progressive implementations of microfabrication laboratory experiences in graduate courses. The first offering has no laboratory activity. The prescribed laboratory and project-based laboratory components were gradually incorporated. All laboratory experiences were team-based and utilized cost-effective facilities. The assessments indicate that students prefer significant laboratory experience and that learning …
A Model Based Fault Detection Scheme For Nonlinear Multivariable Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
A Model Based Fault Detection Scheme For Nonlinear Multivariable Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a novel robust scheme is developed for detecting faults in nonlinear discrete time multi-input and multi-output systems in contrast with the available schemes that are developed in continuous-time. Both state and output faults are addressed by considering separate time profiles. The faults, which could be incipient or abrupt, are modeled using input and output signals of the system. By using nonlinear estimation techniques, the discrete-time system is monitored online. Once a fault is detected, its dynamics are characterized using an online approximator. A stable parameter update law is developed for the online approximator scheme in discrete-time. The …
A New Walking Pattern Svm Technique For Five-Phase Motor Drives, Jing Huang, Keith Corzine
A New Walking Pattern Svm Technique For Five-Phase Motor Drives, Jing Huang, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
As multi-phase motor drives become more popular and practical, new research in this area investigates potential advantages including lower torque ripple and better power density. The added dimensions of a multi-phase machine leads to a completely different operating nature than standard three-phase machines and merits research into new modulation methods. The five-phase and six-phase machines have been traditionally studied in the literature applying voltage-source modulation methods such as sine-triangle modulation and space- vector modulation for current harmonic elimination. Recent research of five-phase induction motor drives addressed nearest three vectors switching; which adds current harmonics but lowers torque ripple and considerably …
Analysis Of Noise Coupling From Printed Circuit Board To Shielding Enclosure, Zhenwei Yu, Xiaopeng Dong, Jason A. Mix, Kevin P. Slattery, Jun Fan
Analysis Of Noise Coupling From Printed Circuit Board To Shielding Enclosure, Zhenwei Yu, Xiaopeng Dong, Jason A. Mix, Kevin P. Slattery, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
The power distribution network in a printed circuit board (PCB) inside a compact-size enclosure is an effective path for high-speed digital noise to be coupled to the RF receivers inside the same enclosure, causing RF interference (RFI) issues. This noise coupling mechanism from PCB to shielding enclosure is investigated in this paper using the cavity model and the segmentation technique. In this approach, the structure of an enclosure with a PCB inside is divided into cavities with both horizontal and vertical connections. Modeling result agrees well with full wave simulations, and the simulation time is considerably reduced. Furthermore, the relationship …
Adaptive And Probabilistic Power Control Algorithms For Rfid Reader Networks, Kainan Cha, Anil Ramachandran, Jagannathan Sarangapani
Adaptive And Probabilistic Power Control Algorithms For Rfid Reader Networks, Kainan Cha, Anil Ramachandran, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In radio frequency identification (RFID) systems, the detection range and read rates will suffer from interference among high power reading devices. This problem grows severely and degrades system performance in dense RFID networks. Consequently, medium access protocols (MAC) protocols are needed for such networks to assess and provide access to the channel so that tags can be read accurately. In this paper, we investigate a suite of feasible power control schemes to ensure overall coverage area of the system while maintaining a desired read rate. The power control scheme and MAC protocol dynamically adjusts the RFID reader power output in …
Prediction Of Effective Permittivity Of Diphasic Dielectrics Using An Equivalent Capacitance Model, Sandeep K. Patil, Marina Koledintseva, Robert W. Schwartz, Wayne Huebner
Prediction Of Effective Permittivity Of Diphasic Dielectrics Using An Equivalent Capacitance Model, Sandeep K. Patil, Marina Koledintseva, Robert W. Schwartz, Wayne Huebner
Electrical and Computer Engineering Faculty Research & Creative Works
An analytical model based on an equivalent capacitance circuit for expressing a static effective permittivity of a composite dielectric with complex-shaped inclusions is presented. The dielectric constant of 0-3 composites is investigated using this model. The geometry of the capacitor containing a composite dielectric is discretized into partial parallel-plate capacitor elements, and the effective permittivity of the composite is obtained from the equivalent capacitance of the structure. First, an individual cell diphasic dielectric (a high-permittivity spherical inclusion enclosed in a lower permittivity parallelepiped) is considered. The capacitance of this cell is modeled as a function of an inclusion radius/volume fraction. …
Novel Dynamic Representation And Control Of Power Networks Embedded With Facts Devices, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow
Novel Dynamic Representation And Control Of Power Networks Embedded With Facts Devices, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow
Electrical and Computer Engineering Faculty Research & Creative Works
FACTS devices have been shown to be powerful in damping power system oscillations caused by faults; however, in the multi machine control using FACTS, the control problem involves solving differential-algebraic equations of a power network which renders the available control schemes ineffective due to heuristic design and lack of know how to incorporate FACTS into the network. A method to generate nonlinear dynamic representation of a power system consisting of differential equations alone with universal power flow controller (UPFC) is introduced since differential equations are typically preferred for controller development. Subsequently, backstepping methodology is utilized to reduce the generator oscillations …
Function-Based Failure Propagation For Conceptual Design, Daniel A. Krus, Katie Grantham
Function-Based Failure Propagation For Conceptual Design, Daniel A. Krus, Katie Grantham
Engineering Management and Systems Engineering Faculty Research & Creative Works
When designing a product, the earlier the potential risks can be identified, the more costs can be saved, as it is easier to modify a design in its early stages. Several methods exist to analyze the risk in a system, but all require a mature design. However, by applying the concept of “common interfaces” to a functional model and utilizing a historical knowledge base, it is possible to analyze chains of failures during the conceptual phase of product design. This paper presents a method based on these common interfaces to be used in conjunction with other methods such as risk …
A Sawtooth Waveform Inspired Pitch Estimator For Speech And Music, Arturo Camacho, John G. Harris
A Sawtooth Waveform Inspired Pitch Estimator For Speech And Music, Arturo Camacho, John G. Harris
Electrical and Computer Engineering Faculty Research & Creative Works
A sawtooth waveform inspired pitch estimator (SWIPE) has been developed for speech and music. SWIPE estimates the pitch as the fundamental frequency of the sawtooth waveform whose spectrum best matches the spectrum of the input signal. The comparison of the spectra is done by computing a normalized inner product between the spectrum of the signal and a modified cosine. The size of the analysis window is chosen appropriately to make the width of the main lobes of the spectrum match the width of the positive lobes of the cosine. SWIPE′, a variation of SWIPE, utilizes only the first and prime …
Real Time Signal Reconstruction From Spikes On A Digital Signal Processor, John G. Harris, Jie Xu, Manu Rastogi, Alexander Singh-Alvarado, Vaibhav Garg, José C. Principe, Kalyana Vuppamandla
Real Time Signal Reconstruction From Spikes On A Digital Signal Processor, John G. Harris, Jie Xu, Manu Rastogi, Alexander Singh-Alvarado, Vaibhav Garg, José C. Principe, Kalyana Vuppamandla
Electrical and Computer Engineering Faculty Research & Creative Works
There has been significant interest in encoding information into asynchronous timing events or spikes using models of biological neurons. It has been shown that these neurons can act as lossless encoders and software algorithms can reconstruct the encoded information. We present here, a real time implementation of a reconstruction algorithm on a TI TMS320C6713 DSK board. This implementation reconstructs the signal from a spike train which was encoded by a fabricated neuron chip. A signal to error ratio of 32 dB with an average firing rate of 8 KHz is obtained. We discuss the practical implementation, challenges and possible future …
Modeling Multilayer Power Distribution Network By Systematically Incorporating Via And Cavity Models, Yaojiang Zhang, Francesco De Paulis, Jun Fan
Modeling Multilayer Power Distribution Network By Systematically Incorporating Via And Cavity Models, Yaojiang Zhang, Francesco De Paulis, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
A closed-form expression for via barrel-plate capacitances is derived. This results in a more accurate equivalent circuit model for decoupling capacitors including both parasitic inductances and via capacitances. Multilayer power distribution network (PDN) is then analyzed by incorporating the circuit models of both vias and parallel plane pair. Circuit simulator is used to evaluate the coupling properties among various locations in the multilayer PDN structures.
Pulse-Based Signal Compression For Implanted Neural Recording Systems, John G. Harris, José C. Principe, Justin C. Sanchez, Du Chen, Christy She
Pulse-Based Signal Compression For Implanted Neural Recording Systems, John G. Harris, José C. Principe, Justin C. Sanchez, Du Chen, Christy She
Electrical and Computer Engineering Faculty Research & Creative Works
Today's implanted neural systems are bound by tight constraints on power and communication bandwidth. Most conventional ADC-based approaches fall into two categories. Either they transmit all of the information at the Nyquist rate but are ultimately limited to only a handful of channels due to communication bandwidth constraints. Or they perform spike detection on the front-end which allows a scale up to 100 or more channels but prevents the use of spike sorting on the backend. Spike sorting is an important step that provides a labeling to multiple neurons on each channel and further improves the accuracy of spike detection. …
The Time Derivative Neuron, Jie Xu, John G. Harris
The Time Derivative Neuron, Jie Xu, John G. Harris
Electrical and Computer Engineering Faculty Research & Creative Works
We have developed the time derivative neuron to reduce the bandwidth needed to encode continuous-time input signals using spiking neuron models. Unlike conventional spiking neuron models, the time derivative neuron generates more spikes in regions of high change and is essentially invariant to DC shifts of the input. We describe the model and develop an efficient reconstruction algorithm to demonstrate its reconstruction accuracy and transmission bandwidth. The idea has both digital and analog hardware realizations and we show a SPICE transistor-level simulation of an efficient analog CMOS implementation. ©2008 IEEE.
Novel Variable Step Size Nlms Algorithms For Echo Cancellation, Mohammad Asif Iqbal, Steven L. Grant
Novel Variable Step Size Nlms Algorithms For Echo Cancellation, Mohammad Asif Iqbal, Steven L. Grant
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper we present two new variable step size (VSS) methods for adaptive filters. These vs.S methods are so effective; they eliminate the need for a separate double-talk detection algorithm in echo cancellation applications. the key feature of both approaches is the introduction of a new near-end signal energy estimator (NE-SEE) that provides accurate and computationally efficient estimates even during double-talk and echo path change events. the first vs.S algorithm applies the NESEE to the recently proposed Nonparametric vs.S NLMS (NPVSS-NLMS) algorithm. the resulting algorithm has excellent convergence characteristics with an intrinsic immunity to double-talk. the second approach is …
Massively Parallel Full-Wave Modeling Of Advanced Packaging Structures On Bluegene Supercomputer, J. D. Morsey, Lijun Jiang, B. J. Rubin, A. Deutsch, C. W. Surovic, D. Becker, A. Haridass
Massively Parallel Full-Wave Modeling Of Advanced Packaging Structures On Bluegene Supercomputer, J. D. Morsey, Lijun Jiang, B. J. Rubin, A. Deutsch, C. W. Surovic, D. Becker, A. Haridass
Electrical and Computer Engineering Faculty Research & Creative Works
A parallel, distributed memory version of a full wave Method of Moments (MoM) solution combined with the Reduced Coupling approximation technique is presented on the largest parallel-server. Modeling results for product-level simulation of a single-chip module are correlated with time-domain measurements for validation of the technique. Scaling for this and other representative examples are shown for up to 16,384 compute nodes on IBM's BlueGene supercomputer, the largest parallel-platform ever reported for MoM based solutions. © 2008 IEEE.
Strain Sensitive Coax Cable Sensors For Monitoring Structures, Genda Chen, James L. Drewniak, Huimin Mu, David Pommerenke
Strain Sensitive Coax Cable Sensors For Monitoring Structures, Genda Chen, James L. Drewniak, Huimin Mu, David Pommerenke
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The invention provides increased structural monitoring systems that have sensitive continuous coaxial cable sensors. A preferred embodiment sensor cable of the invention includes an inner conductor, a dielectric jacket, and an outer conductor that is configured to passively deform responsively to strain in an associated structure. The deformation can be aided by the physical structure of the dielectric jacket, the outer conductor, or a combination of both. The deformation translates strain into a measurable change in a reflection coefficient associated with the outer conductor.
Swarm Intelligence And Evolutionary Approaches For Reactive Power And Voltage Control, Ganesh K. Venayagamoorthy, G. Krost, G. A. Bakare, Lisa L. Grant
Swarm Intelligence And Evolutionary Approaches For Reactive Power And Voltage Control, Ganesh K. Venayagamoorthy, G. Krost, G. A. Bakare, Lisa L. Grant
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a comparison of swarm intelligence and evolutionary techniques based approaches for minimization of system losses and improvement of voltage profiles in a power network. Efficient distribution of reactive power in an electric network can be achieved by adjusting the excitation on generators, the on-load tap changer positions of transformers, and proper switching of discrete portions of inductors or capacitors. This is a mixed integer non-linear optimization problem where metaheuristics techniques have proven suitable for providing optimal solutions. Four algorithms explored in this paper include differential evolution (DE), particle swarm optimization (PSO), a hybrid combination of DE and …
Comparison Of Nimh And Li-Ion Batteries In Automotive Applications, Aditya Jayam Prabhakar, Mehdi Ferdowsi
Comparison Of Nimh And Li-Ion Batteries In Automotive Applications, Aditya Jayam Prabhakar, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
The pressing need to decrease the greenhouse gases and to improve the efficiency of the existing fleet of vehicles it is imperative that they use some cleaner energy to run the vehicle. Electrical energy can be used in addition with gasoline used by the internal combustion engine of a conventional vehicle to supplement the incremental demand of power above the average power required by the vehicle. This requires for an on-board energy storage system and batteries like NiMH and Li-ion have proven to be efficient storage devices. This paper provides a comprehensive comparison of these batteries used in hybrid electric …