scholarly journals Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4092
Author(s):  
Woong Lee ◽  
Tacksu Kim ◽  
Jongryeol Jeong ◽  
Jaewoo Chung ◽  
Deokjin Kim ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Test Data ◽  
Real World ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Fuel Efficiency ◽  
Control Analysis ◽  
Vehicle Speed ◽  
Control Concept ◽  
Hybrid Electric

The control strategy of a hybrid electric vehicle (HEV) is generally not disclosed to public because it is a significant factor in determining the performance of the system. However, engineers desiring to understand the control concept of real-world HEVs can gain knowledge in various ways. In this study, we used test data obtained from a bench dynamometer and real driving to analyze the supervisory control strategy of Hyundai Ioniq Hybrid. This research can be described in three steps. First, an understanding of the mode control strategy is obtained by investigating the engine on/off behavior, which determines when the pure electric driving mode is used. Second, the shifting patterns are studied by observing the speed ratios according to the vehicle speed and the torque demand. Third, the strategy for distributing the torque between the engine and the motor is analyzed by studying the motor assistant operation. Based on the analyzed control concept, it is possible to understand the technical strategy for improving the fuel efficiency of the parallel hybrid system. This study would be useful for engineers who want to design controllers for HEVs, in that it provides the analyzed control concept and the real-world operating behaviors.

Development of Fuel Cell Hybrid Electric Vehicle Simulator and HCU

2010 ◽  
Vol 26-28 ◽  
pp. 1110-1114
Author(s):  
Dong Ji Xuan ◽  
Qian Ning ◽  
Zhen Zhe Li ◽  
Tai Hong Cheng ◽  
Yun De Shen
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Cell Hybrid ◽  
Hybrid Electric Vehicle ◽  
Driver Model ◽  
Vehicle Speed ◽  
Battery Capacity ◽  
Hybrid Electric ◽  
Fuel Cell Hybrid

Based on the Matlab/Simulink module modeling for Fuel Cell Hybrid Electric Vehicle was carried out, which is comprised of the fuel cell stack model, a DC/DC converter model, a battery model, a motor model, avehiclemodel and a driver model, and Hybrid Control Unit(HCU) was developed. The HCU control strategy also incorporates regenerative braking and recharge for battery capacity recovery. Vehicle speed effect is evaluated in New Europe Driving Cycle. The simulation result that the control strategy implemented by HCU is achievable, and which proves that the mode of Start, Accele_FCBat, Cruise, RE_Brake, Power_FC and Pause operate sequently as well as reliably.

Optimal Dual-Mode Hybrid Electric Vehicle Powertrain Architecture Design for a Variety of Loading Scenarios

2014 ◽  
Author(s):  
Alparslan Emrah Bayrak ◽  
Yi Ren ◽  
Panos Y. Papalambros
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Fuel Efficiency ◽  
Architecture Design ◽  
Optimization Strategy ◽  
Passenger Cars ◽  
Hybrid Electric ◽  
Distribution Of Power ◽  
Architecture Development ◽  
Vehicle Powertrain

A hybrid-electric vehicle powertrain architecture consists of single or multiple driving modes, i.e., connection arrangements among engine, motors and vehicle output shaft that determine distribution of power. While most architecture development work to date has focused primarily on passenger cars, interest has been growing in exploring architectures for special-purpose vehicles such as vans or trucks for civilian and military applications, whose weights or payloads can vary significantly during operations. Previous findings show that the optimal architecture can be sensitive to vehicle weight. In this paper we investigate architecture design under a distribution of vehicle weights, using a simulation-based design optimization strategy with nested supervisory optimal control and accounting for powertrain complexity. Results show that an architecture under a single load has significant differences and lower fuel efficiency than an architecture designed to work under a variety of loading scenarios.

Sign in / Sign up

Export Citation Format

Share Document