The hybrid electric vehicle (HEV) offers superior fuel economy (FE) compared to the conventional counterpart; yet, it is costlier. To optimize an HEV design, both energy storage cost-one of major contributors in overall cost-and FE are often set as objective functions optimization processes. techniques applied manage power flow between powertrain sources and sinks significantly affect results this optimization. In paper, advanced bandwidth-based control strategy teamed up with a duty ratio...

The twin goals of maximizing fuel economy (FE) and improving consumer acceptance by reducing the cost energy storage system (ESS) in a series hybrid electric vehicle (SHEV) powertrain is addressed here using as means for filtering drive-cycle power demands on engine, rather than an source supplying all-electric drive mode. concept intended to minimize, if not eliminate, battery SHEV without resorting full-range proportional control engine generator. An initial optimization study reported...

Power management strategies have impacts on fuel economy, greenhouse gasses (GHG) emission, as well effects the durability of power-train components. This is why different off-line and real-time optimal control approaches are being developed. However, seems to be more attractive than because it can directly implemented for managing power energy flows inside an actual vehicle. One interesting illustration these model predictive (MPC) based algorithm. Inside a MPC, cost function optimized...

Fuel Cell Power Plant (FCPP) can be directly connected to a building provide both power and heat with cogeneration efficiencies as high 80%. In this method, in addition electrical thermal energy, hydrogen is obtained useful byproduct. paper, we have used Particle Swarm Optimization minimize the cost function of such model. There two different ways recover energy FCPP. paper present new method compare these three ways. This decreases daily operation system drastically. Also, effect tariff for...

Active and Non-Active Gate Drives (AGDs NAGDs) are known for managing switching characteristics of silicon (Si) carbide (SiC) power semiconductors. As SiC adoption has grown, the need intelligent gate drives which capable dynamics associated with fast-switching these devices become apparent. To propose a solution driven post-driven dynamic behavior, this paper first studies most recent AGD solutions semiconductors focus on closed loop schemes. The study is continued by reviewing available...

In a HEV or EV, analysis of the energy storage system (ESS) is often based on standard drive cycles sampled at 1 Hz rate. The switching harmonics caused by motor are well-known source high-frequency ESS since perfect de-coupling using capacitors native to not possible, but additional current flow between 0.5 (Nyquist frequency sampling frequency) and because transient nature load in automotive applications. This digest quantifies these harmonic currents, sizes high-bandwidth devices (ESDs)...

Abstract (I intend to follow up with a full paper.) Our College of xxxxxxx at is proud serve student body rich in first-generation college students and underrepresented Latino (74%). However, the 6-year graduation rate, while on rise, still 38%. There currently 33% equity gap rate between URM non-URM students. An engineering design service learning based summer bridge was developed, support from National Science Foundation (NSF), for rising sophomore majors. The goal Bridge Opportunities...

Model predictive control strategy (MPC) has been identified as an efficient path for reducing fuel consumption, greenhouse gasses (GHG) emission, or degradation of power-train components electrified vehicles. MPC is optimization-based that aims at finding the optimal actions a system by predicting its future behaviors. As main contribution, this paper provides Pareto-front analysis objective function taking into account equivalent consumption and battery aging when PHEV in charge sustaining...

Power management strategies affect fuel economy, emission as well other key parameters such durability of power-train components. Different off-line and real time optimal control approaches are applied for developing power while the real-time seems more attractive in sense that it can be implemented directly controlling flow a vehicle. One promising example this type is Model Predictive Control (MPC)-based algorithm where utility function optimized system constraints validated all time....

Reduction of fuel consumption, carbon footprint as well increasing the lifetime powertrain components electrified vehicle, such battery, has been recognized a significant challenge our century. Model predictive control strategy (MPC) is considered way to tackle this issue efficiently. This optimization-based selects best action by anticipating system expected response. As main contribution, paper provides impact State Charge (SoC) estimation Battery Management System (BMS) on performance MPC...

Estimation of a lithium battery electrical impedance can provide relevant information regarding its characteristics. Currently, electrochemical spectroscopy (EIS) constitutes the most recognized and accepted method. Although highly precise robust, EIS is usually performed during laboratory testing not suitable for any on-board application, such as in electric vehicles (BEVs) because it an instrumentally computationally heavy To address this issue on-line system applications, manuscript...

A series HEV with a minimal or "light" ESS and small engine is examined the objective of maximizing fuel economy little all-electric range. The motivation re-examination assumptions about consumer adoption electric vehicles, goal to consider lowest cost ownership without compromising Lowest indicated by energy storage system displacement sized for average, rather than peak power. found via parametric study maximum empirically validated on chassis dynamometer.

Developing an efficient online predictive modeling system (PMS) is a major issue in the field of electrified vehicles as it can help reduce fuel consumption, greenhouse gasses (GHG) emission, but also aging power-train components, such battery. For this manuscript, model control (MPC) has been considered PMS. This design defined optimization problem that uses projected behaviors over finite prediction horizon to determine optimal solution for current time instant. In MPC controller intents...

An effective online PMS is critical for the future electrified vehicles as it has direct impacts on fuel economy, greenhouse gasses (GHG) emission, well durability of power-train components. In this paper, we considered a developed based concept model predictive control (MPC) which formulates design an optimization problem that solved forecasted system behaviors over limited prediction horizon to obtain optimal actions current time instant. The main contribution paper take systematic...

Model predictive control strategy (MPC) has been identified as an efficient path for reducing fuel consumption, greenhouse gasses (GHG) emission, or degradation of power-train components electrified vehicles. MPC is optimization-based that aims at finding the optimal actions a system by predicting its future behaviors. As main contribution, this paper investigate, identify, and quantify effects inaccuracy on vehicle model mass estimation performance controller when plug hybrid electric...

The integration of renewable energy resources and electric vehicles in microgrids presents a significant challenge due to generation demand uncertainty. However, our technical market research Solar Plus Storage microgrids, carried out as part US Department Energy's Prize project, demonstrates the efficacy advanced microgrid controls managing this uncertainty while saving billions dollars. control system must be equipped with optimization tools adaptive forecasting models that minimize...

Significant information concerning the characteristics of a Lithium battery is provided by electrical impedance measurements. The reference method analysis consists performing electrochemical spectroscopy (EIS). Although robust, it usually cannot be used for an embedded system, such as hybrid electric vehicle (HEV) because expensive, complex, and very time-consuming method. contribution this paper allows to overcome these issues address applications. This article proposes passive methodology...

The current technological trend in transportation is a move toward cleaner energy and one of the fastest growing technologies this field storage system (ESS)-regularly comprised batteries. This can be seen battery (BEV) hybrid-electric vehicles (HEV). Efficiency (ESS) operation absolutely crucial to electrified as batteries are still only capable delivering relatively limited amount power before reaching discharged state. Minimizing losses within electrical central challenge developing...

Technological progress and industrial activities have affected air quality increased greenhouse gas (GHG) emissions. GHGs are emitted from several sources, such as refineries, power plants vehicles. The transportation sector contributes significantly to GHG emissions, primarily via vehicles powered by petroleum-based fuels dispersed throughout residential territories. Plug-in hybrid electrical (PHEVs), which displace some portion of the petroleum with electricity, play a key role in reducing...