Belief in Environmentalism and Independent/Interdependent Self-Construal as Factors Predicting Interest in and Intention to Purchase Hybrid Electric Vehicles

2017 ◽  
Vol 38 (6) ◽  
pp. 1464-1475 ◽  
Author(s):  
Volkan Dogan ◽  
Mujdat Ozmen
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Intention To Purchase ◽  
Self Construal ◽  
Interdependent Self ◽  
Hybrid Electric

scholarly journals Social and municipal influences on intention to purchase electric and hybrid electric vehicles in London Ontario, CA

2021 ◽  
Vol 2021 ◽  
pp. 69-88
Author(s):  
Jordan Fuller ◽  
Jamie Baxter ◽  
Jamie Skimming
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Low Cost ◽  
Low Carbon ◽  
Municipal Governments ◽  
Intent To Purchase ◽  
Intention To Purchase ◽  
The Social ◽  
Hybrid Electric ◽  
Vehicle Purchase

We conducted a case study in London, Ontario to identify factors that influence decisions to purchase low carbon vehicles including what role municipal governments might play in encouraging low carbon vehicle purchase decisions. As part of a city-university partnership, this study reports (n = 257) results from a mail-out survey.  We test mainly whether social influences and mechanisms under municipal control predict intent to purchase electric vehicles (EV) and hybrid electric vehicles (HEV).  Both proximal social influencers (family and friends) (.179**, .393**) and distal social influencers (.219**, .142*) predict intent to purchase EV and HEV respectively.  City information sessions (.161** EV) and City promotion (.141* HEV) significantly influence intentions, while City-provided EV parking and charging are not. While municipalities may find other areas with greater impact on GHG reductions, the findings support promoting the social aspects of EV and HEV purchasing and providing relatively low-cost promotion/events.

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.

Control strategy parameter analysis of parallel hybrid electric vehicles based on multiindex orthogonal experiment

2013 ◽  
Vol 32 (11) ◽  
pp. 3047-3049
Author(s):  
Guan-ci YANG ◽  
Shao-bo LI ◽  
Xiang-hong TANG ◽  
Jing-lei QU ◽  
Yong ZHONG
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Orthogonal Experiment ◽  
Parameter Analysis ◽  
Parallel Hybrid ◽  
Hybrid Electric

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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