Optimization of Traction Motor According to Main Operating Points Determination Methods for High Fuel Economy of Electric Vehicles

Hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) are evolving rapidly since the introduction of Toyota Prius into the market in 1997. As the world needs more fuel-efficient vehicles to mitigate climate change, the role of HEVs and PHEVs are becoming ever more important. While fuel economies of HEVs and PHEVs are superior to those of internal combustion engine (ICE) powered vehicles, they are partially powered by batteries and therefore they resemble characteristics of battery electric vehicles (BEVs) such as dependence of fuel economy on ambient temperatures. It is also important to understand how different extent of hybridization (a.k.a., hybridization ratio) affects fuel economy under various driving conditions. In addition, it is of interest to understand how HEVs and PHEVs compare with BEVs at a similar vehicle weight. This study investigated the relationship between vehicle mass and vehicle performance parameters, mainly fuel economy and driving range of PHEVs focused on 2018 and 2019 model years using the test data available from fuel economy website of the US Environmental Protection Agency (EPA). Previous studies relied on modeling to understand mass impact on fuel economy for HEV as there were not enough number of HEVs in the market to draw a trendline at the time. The study also investigated the effect of ambient temperature for HEVs and PHEVs and kinetic energy recovery of the regenerative braking using the vehicle testing data for model year 2013 and 2015 from Idaho National Lab (INL). The current study assesses current state-of-art for PHEVs. It also provides analysis of experimental results for validation of vehicle dynamic and other models for PHEVs and HEVs.

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Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios

Energy ◽

10.1016/j.energy.2020.117101 ◽

2020 ◽

Vol 196 ◽

pp. 117101 ◽

Cited By ~ 1

Author(s):

Xiaosong Hu ◽

Xiaoqian Zhang ◽

Xiaolin Tang ◽

Xianke Lin

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Electric Vehicles ◽

Fuel Economy ◽

Hybrid Electric Vehicles ◽

Vehicle Safety ◽

Emission Reductions ◽

Car Following ◽

Hybrid Electric

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IoT-based traction motor drive condition monitoring in electric vehicles: Part 1

2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS) ◽

10.1109/peds.2017.8289143 ◽

2017 ◽

Cited By ~ 7

Author(s):

Jakkrit Kunthong ◽

Tirasak Sapaklom ◽

Mongkol Konghirun ◽

Cherdchai Prapanavarat ◽

Piyasawat Navaratana Na Ayudhya ◽

...

Keyword(s):

Condition Monitoring ◽

Electric Vehicles ◽

Motor Drive ◽

Traction Motor ◽

Drive Condition

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Real-Time Co-optimization of Vehicle Route and Speed Using Generic Algorithm for Improved Fuel Economy

Mechanical Engineering ◽

10.1115/1.2019-mar-4 ◽

2019 ◽

Vol 141 (03) ◽

pp. S08-S15

Author(s):

Guoming G. Zhu ◽

Chengsheng Miao

Keyword(s):

Electric Vehicle ◽

Electric Vehicles ◽

Fuel Economy ◽

Autonomous Vehicles ◽

Hybrid Electric Vehicle ◽

High Efficiency ◽

Combustion Engine ◽

Cruise Control ◽

Vehicle Performance ◽

Hybrid Electric

Making future vehicles intelligent with improved fuel economy and satisfactory emissions are the main drivers for current vehicle research and development. The connected and autonomous vehicles still need years or decades to be widely used in practice. However, some advanced technologies have been developed and deployed for the conventional vehicles to improve the vehicle performance and safety, such as adaptive cruise control (ACC), automatic parking, automatic lane keeping, active safety, super cruise, and so on. On the other hand, the vehicle propulsion system technologies, such as clean and high efficiency combustion, hybrid electric vehicle (HEV), and electric vehicle, are continuously advancing to improve fuel economy with satisfactory emissions for traditional internal combustion engine powered and hybrid electric vehicles or to increase cruise range for electric vehicles.

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Depleting Mode Control Strategies for Plug-in Hybrid Electric Vehicles

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.2211 ◽

2011 ◽

Vol 130-134 ◽

pp. 2211-2215

Author(s):

Bing Zhan Zhang ◽

Han Zhao ◽

An Dong Yin

Keyword(s):

Electric Vehicles ◽

Fuel Economy ◽

Control Strategy ◽

Hybrid Electric Vehicles ◽

Control Strategies ◽

Great Influence ◽

Torque Control ◽

Drive Cycle ◽

Vehicle Simulation ◽

Hybrid Electric

Control strategy is the most important issue in the Plug-in Hybrid electric vehicles (PHEV) design, which has two modes: charge depleting mode (CD) and charge sustaining mode (CS). The different control strategies in depleting mode will have a great influence on PHEV dynamic performance and fuel economy. The engine optimal torque control strategy was proposed in the paper. The vehicle simulation model in Powertrain Systems Analysis Toolkit (PSAT) was adopted to evaluate the proposed control strategy. The aggressive highway drive cycle Artemis_hwy and a random drive cycle generated by Markov Process were used. The simulation results indicate the proposed control strategy has great improvement in fuel economy.

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