Energy Efficiency of SR and IPM Generators for Hybrid Electric Vehicle

2015 ◽  
Vol 51 (4) ◽  
pp. 2874-2883 ◽  
Author(s):  
Katsuhiko Urase ◽  
Noboru Yabu ◽  
Kyohei Kiyota ◽  
Hiroya Sugimoto ◽  
Akira Chiba ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric

scholarly journals A Component-Sizing Methodology for a Hybrid Electric Vehicle Using an Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3147
Author(s):  
Kiyoung Kim ◽  
Namdoo Kim ◽  
Jongryeol Jeong ◽  
Sunghwan Min ◽  
Horim Yang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Hybrid Electric Vehicle ◽  
New Technologies ◽  
New Technology ◽  
Dynamic Performance ◽  
Minimum Principle ◽  
Component Sizing ◽  
Hybrid Electric

Many leading companies in the automotive industry have been putting tremendous effort into developing new powertrains and technologies to make their products more energy efficient. Evaluating the fuel economy benefit of a new technology in specific powertrain systems is straightforward; and, in an early concept phase, obtaining a projection of energy efficiency benefits from new technologies is extremely useful. However, when carmakers consider new technology or powertrain configurations, they must deal with a trade-off problem involving factors such as energy efficiency and performance, because of the complexities of sizing a vehicle’s powertrain components, which directly affect its energy efficiency and dynamic performance. As powertrains of modern vehicles become more complicated, even more effort is required to design the size of each component. This study presents a component-sizing process based on the forward-looking vehicle simulator “Autonomie” and the optimization algorithm “POUNDERS”; the supervisory control strategy based on Pontryagin’s Minimum Principle (PMP) assures sufficient computational system efficiency. We tested the process by applying it to a single power-split hybrid electric vehicle to determine optimal values of gear ratios and each component size, where we defined the optimization problem as minimizing energy consumption when the vehicle’s dynamic performance is given as a performance constraint. The suggested sizing process will be helpful in determining optimal component sizes for vehicle powertrain to maximize fuel efficiency while dynamic performance is satisfied. Indeed, this process does not require the engineer’s intuition or rules based on heuristics required in the rule-based process.

4x4 SUV Energy Efficiency and Mobility: Hybrid-Electric Transfer Case vs Mechanical Driveline System

2014 ◽  
Author(s):  
Vladimir V. Vantsevich ◽  
Jesse R. Paldan
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Electric Vehicle ◽  
Power Distribution ◽  
Hybrid Electric Vehicle ◽  
Optimization Criterion ◽  
Control Power ◽  
Transfer Case ◽  
Vehicle Mobility ◽  
Hybrid Electric

In this paper, an investigation is performed into the optimization of wheel power distribution between the drive axles of an AWD hybrid-electric SUV. The paper presents a criterion to maximize the vehicle’s slip efficiency through control of the kinematic discrepancy factor. The optimization criterion is combined with a mathematical model of a driveline for an AWD hybrid-electric vehicle using a new hybrid-electric power transmitting unit to control power distribution between the front and rear drive wheels. A technical concept is described for the hybrid-electric power transmitting unit that is functionally fused with a series hybrid-electric transmission. The mode of operation of the power transmitting device is described and simulations are performed for a 4×4 hybrid-electric vehicle of different driveline characteristics to compare the influence of driveline type on vehicle energy efficiency, including battery depletion, and vehicle mobility when traveling on a road or off-road under severe terrain conditions.

Performance Parameter Estimation of the Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 130-134 ◽  
pp. 2180-2184
Author(s):  
Yan Ping Zheng ◽  
Tian Tian ◽  
Zhengang He
Keyword(s):  
Energy Efficiency ◽  
Simulation Model ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Performance Estimation ◽  
Power Performance ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Reverse Simulation

Based on the theory of HEV (Hybrid Electric Vehicle) and the idea of reverse simulation, the simulation model of the parallel HEV is established in MATLAB and the estimation of the energy efficiency, the power performance and the fuel economy of HEV is achieved, which provides reference for the performance estimation of parallel HEV. At the same time the definition and the estimating method about HEV energy efficiency were mentioned in this paper and the energy efficiency can be achieved by the simulation model. The results of the simulation show that this estimating method has certain practicability and convenience.

Ecological Adaptive Cruise Control of Plug-in Hybrid Electric Vehicle with Connected Infrastructure and On-Road Experiments

2021 ◽  
Author(s):  
Sangjae Bae ◽  
Yeojun Kim ◽  
Yongkeun (Eric) Choi ◽  
Jacopo Guanetti ◽  
Preet Gill ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Mathematical Formulation ◽  
Research Problem ◽  
Practical Implementation ◽  
Mathematical Framework ◽  
Cruise Control ◽  
Energy Efficiency Improvement ◽  
Hybrid Electric

Abstract This paper examines both mathematical formulation and practical implementation of an ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human errors are typical sources of accidents in urban driving, which can be remedied by rigorous control theories. Designing an ECO-ACC is, therefore, a classical research problem to improve safety and energy efficiency. We add two main contributions to the literature. First, we propose a mathematical framework of an online ECO-ACC for Plug-in Hybrid Electric Vehicle (PHEV). Second, we demonstrate ECO-ACC in a real-world which includes other human drivers and uncertain traffic signals on a 2.6 [km] length of the corridor with 8 signalized intersections in Southern California, USA. The demonstration results show, on average, 30.98% of energy efficiency improvement and 8.51% additional travel time.

Sign in / Sign up

Export Citation Format

Share Document