An Interactive Multimedia Framework for Education on Vehicle Electrification

2013 ◽  
Author(s):  
Michael J. Rothenberger ◽  
Hosam K. Fathy
Keyword(s):  
Electric Vehicles ◽  
Interactive Multimedia ◽  
Hybrid Electric Vehicles ◽  
Vehicle Design ◽  
Societal Factors ◽  
Performance Constraints ◽  
Educational Videos ◽  
High Level ◽  
Pedagogy Literature ◽  
Level Performance

This paper presents an interactive multimedia framework for introducing students to vehicle electrification/hybridization. The framework familiarizes its target audience with: (i) the societal factors driving the development of hybrid and plug-in hybrid electric vehicles (HEVs/PHEVs); (ii) the differences between conventional vehicles, HEVs, and PHEVs; and (iii) the high-level performance constraints and tradeoffs inherent in hybrid vehicle design. The framework consists of two coupled components: (i) a set of educational videos on vehicle electrification; and (ii) a 3D videogame built around physics-based models of conventional and series hybrid ambulances. The paper presents both the above education framework and the specific principles from the pedagogy literature guiding its design.

Aspects of Modeling and Optimizing Air Circulation Currents in a Car Cabin

2014 ◽  
Vol 659 ◽  
pp. 163-170
Author(s):  
Vasile Caunii ◽  
Adrian Sachelarie
Keyword(s):  
Thermal Comfort ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Air Conditioning ◽  
Hybrid Electric Vehicles ◽  
Air Conditioning System ◽  
Main Components ◽  
High Level ◽  
Air Circulation

Air conditioning system is one of the main components of modern cars, which defines the level of comfort, its performances directly affecting the car performances. In order to have a car with high level of thermal comfort, the air-conditioning system must be efficient in terms of energy, it has to perform many functions regarding the microclimate control (control of temperature, humidity, filtration), and in addition must fulfill safety and security functions in circulation (demisting and defrosting). Also vehicle air-conditioning system can significantly influence fuel economy and tailpipe emissions of conventional and hybrid electric vehicles (HEV) and reduce electric vehicle (EV) range.

A MINLP Model for Global Optimization of Plug-In Hybrid Vehicle Design and Allocation to Minimize Life Cycle Greenhouse Gas Emissions

2010 ◽  
Author(s):  
Ching-Shin Norman Shiau ◽  
Jeremy J. Michalek
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Ghg Emissions ◽  
Global Solutions ◽  
Mixed Integer ◽  
Vehicle Design ◽  
Light Duty Vehicle ◽  
Hybrid Electric

Plug-in hybrid electric vehicles (PHEVs) have potential to reduce greenhouse gas (GHG) emissions in the U.S. light-duty vehicle fleet. GHG emissions from PHEVs and other vehicles depend on both vehicle design and driver behavior. We pose a twice-differentiable, factorable mixed-integer nonlinear programming model utilizing vehicle physics simulation, battery degradation data, and U.S. driving data to determine optimal vehicle design and allocation for minimizing lifecycle greenhouse gas (GHG) emissions. The resulting nonconvex optimization problem is solved using a convexification-based branch-and-reduce algorithm, which achieves global solutions. In contrast, a randomized multistart approach with local search algorithms finds global solutions in 59% of trials for the two-vehicle case and 18% of trials for the three-vehicle case. Results indicate that minimum GHG emissions is achieved with a mix of PHEVs sized for around 35 miles of electric travel. Larger battery packs allow longer travel on electric power, but additional battery production and weight result in higher GHG emissions, unless significant grid decarbonization is achieved. PHEVs offer a nearly 50% reduction in life cycle GHG emissions relative to equivalent conventional vehicles and about 5% improvement over ordinary hybrid electric vehicles. Optimal allocation of different vehicles to different drivers turns out to be of second order importance for minimizing net life cycle GHGs.

Hierarchical Robust Energy Management of Hybrid Electric Vehicles

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Seyedeh Mahsa Sotoudeh ◽  
Tinu Vellamattathil Baby ◽  
Pouria Karimi Shahri ◽  
Amir H. Ghasemi ◽  
Baisravan HomChaudhuri
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Prediction Method ◽  
Driving Cycle ◽  
Charge Balance ◽  
Energy Management Strategy ◽  
Velocity Prediction ◽  
Hybrid Electric ◽  
High Level

Abstract This article proposes a hierarchical energy management strategy for power-split hybrid electric vehicles (HEVs) in presence of driving cycle uncertainty. The proposed hierarchical controller exploits long-term and short-term decision making via a high-level pseudospectral optimal controller and a low-level robust tube-based model predictive controller. This way, the proposed controller aims at robust charge balance constraint satisfaction and improvement in energy efficiency of the HEVs in presence of uncertainty in the future driving cycle. This article further focuses on the human-driven HEV energy management and exploits a data-driven future velocity prediction method that uses the data obtained from a drive simulator. Simulation results show an improvement in fuel economy for the proposed controller that is real time applicable and robust to the driving cycle’s uncertainty.

EV – Challenges In Going Electric

2018 ◽  
Author(s):  
Umanand L
Keyword(s):  
Mass Transport ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Research Activity ◽  
Considerable Research ◽  
Hybrid Electric

This article presents a frank and open opinion on the challenges that will be faced in moving towards an electric mass transport ecosystem. World over there is considerable research activity on electric vehicles and hybrid electric vehicles. There seems to be a global effort to move from an ICE driven ecosystem to electric vehicle ecosystem. There is no simple means to make this transition. This road is filled with hurdles and challenges. This paper poses and discusses these challenges and possible solutions for enabling EVs.

scholarly journals Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5538
Author(s):  
Bảo-Huy Nguyễn ◽  
João Pedro F. Trovão ◽  
Ronan German ◽  
Alain Bouscayrol
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Engine Fuel ◽  
Linear Quadratic ◽  
Loop Control ◽  
Parallel Hybrid ◽  
Linear Quadratic Regulation ◽  
Hybrid Electric

Optimization-based methods are of interest for developing energy management strategies due to their high performance for hybrid electric vehicles. However, these methods are often complicated and may require strong computational efforts, which can prevent them from real-world applications. This paper proposes a novel real-time optimization-based torque distribution strategy for a parallel hybrid truck. The strategy aims to minimize the engine fuel consumption while ensuring battery charge-sustaining by using linear quadratic regulation in a closed-loop control scheme. Furthermore, by reformulating the problem, the obtained strategy does not require the information of the engine efficiency map like the previous works in literature. The obtained strategy is simple, straightforward, and therefore easy to be implemented in real-time platforms. The proposed method is evaluated via simulation by comparison to dynamic programming as a benchmark. Furthermore, the real-time ability of the proposed strategy is experimentally validated by using power hardware-in-the-loop simulation.

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