RANGE-EXTENDER IN-THE-LOOP METHOD FOR FUEL CONSUMPTION PREDICTION OF HYBRID ELECTRIC VEHICLES

Yongzheng Sun,Zhiyu Han,Jianfeng Chen,Zhenkuo Wu 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.1

In the development of a range-extended electric vehicle, it is necessary to determine the control strategy of the range extender (REX) and evaluate the influence of its performance and operating conditions. In this paper, we propose a range-extender in-the-loop (REIL) method that is used to predict the vehicle fuel consumption more accurately. To develop the REIL method and perform experimental verification, the vehicle plant model, electric-drive control strategy, and REX control strategy are integrated into a vehicle control unit (VCU) for REX control, bench data acquisition, and bench monitoring. The VCU controls the REX to meet the power requirements of the simulated vehicle operations under a given driving cycle. The fuel consumed by the engine and power generated by the integrated starter-and-generator are measured during the tests, which are used in the vehicle fuel consumption calculation. We first describe the methodology and implementation of the REIL, and subsequently discuss the predicted results of a range-extended electric vehicle equipped with a 30 kW REX under the WLTC driving cycle. Comparing the predicted results of the REIL and software simulation methods, it is demonstrated that the REIL method improves the prediction accuracy of vehicle fuel consumption.

Bio Fuel Injection and Generated Voltage Change of Series Hybrid Electric Vehicle with Plant Oil Electric Generator

Ayumi Sudo,Yoshihiko Takahashi 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10

We are developing a range extended electric vehicle using a diesel engine electric generator with plant (vegetable) oil (named as bio EV). The vehicle design concept is a series hybrid electric vehicle. A diesel engine rotates a DC motor by using plant oil to generate electricity, and the developed vehicle runs by using the generated electricity. It is possible to run a long distance without refueling, and plant oil fuels are sustainable natural resources. Generally, a fuel mixture consisting of light oil and plant oil is used as bio fuel. However, in this study, we only used plant oil (SVO: straight vegetable oil or WVO: waste vegetable oil) as bio fuel in order to reduce fuel cost, and avoid using fossil fuel. As the viscosity of SVO or WVO is higher than that of general light oil, it is essential to examine the phenomena of fuel injection and generated voltage change. This paper reports the examination results of the bio fuel injection phenomena and the generated voltage change phenomena.

주행거리 연장형 청소용 전기자동차에 장착된 상용 디젤엔진의 토크제어를 위한 통신 방안

박용국(Young-Kug Park) 한국산학기술학회 2018 한국산학기술학회논문지 Vol.19 No.7

본 논문은 주행거리 연장형 전기자동차에서 발전량을 결정하는 차량 제어기와 이를 수행하는 엔진 제어기 간 토크 명령을 전달하기 위한 새로운 통신방법을 설명한 것이다. 일반적으로 자동차는 CAN 통신방식을 사용하지만, 이 경우 기존 엔진 제어기의 하드웨어 및 소프프웨어를 수정해야만 한다. 이러한 이유로 중소 자동차 개조업체는 발전용 엔진이 탑재된 주행거리 연장형 전기자동차에 대한 개발 및 개조 작업 시 CAN통신방식의 적용이 쉽지 않다. 따라서 본 연구과정에서는 기존의 양산용 엔진 제어기를 주행거리 연장형 전기자동차에 적용하기 위한 핀-핀 통신방안를 제시하였다. 핀-핀 통신방안은 기존 양산용 엔진 제어기내에 탑재된 운전자요구토크 제어 맵을 엔진의 목표속도와 목표토크에 따른 가상 엑셀 열림량으로 변환하는 과정과 이를 기존 양산 엔진제어기가 인식 할 수 있도록 해당 엑셀페달 전압신호로 변환하는 과정으로 구성된다. 가상 엑셀 열림량은 오프라인 환경에서 역 변환 과정을 통하여 차량 최상위제어기에 제어 맵 형태로 탑재되고, 엔진 발전요구량과 엔진 최적 운전점 알고리즘을 통하여 결정된다. 이렇게 결정된 가상엑셀 열림량은 DA신호 변환기를 통하여 기존 엔진제어기가 인식할 수 있는 전압신호로 최종적으로 변환된다. 엔진토크 전달을 위한 이러한 알고리즘과 신호변환 회로는 차량제어기(VCU)에 탑재되어 엔진목표토크에 따른 가상엑셀페달 열림량 변환과정과 신호변환기를 이용한 가상 엑셀페달 전압신호에 대한 통신시험을 실시하여 이러한 통신방식의 실현 가능성을 입증하였다. This paper describes new communication methods for transmitting torque commands between the vehicle controller that determines the amount of power generation in a range-extended electric vehicle and the engine controller that performs it. Generally, vehicles use CAN communication, but in this case, the hardware and software of the existing engine controller must be modified. For this reason, it is not easy to apply CAN communication to small and medium sized automotive reorganize companies. Therefore, this research presents a pin-pin communication method for applying the existing mass produced engine controller to range-extended electric vehicles. The pin-pin communication method converts the driver`s demand torque control map inside an mass produced engine controller into a virtual accelerator opening position according to the target speed and target torque of the engine, and converts this to a voltage signal for the existing mass produced engine controller to recognize it. The virtual accelerator opening positions are mounted in the form of a control map in the vehicle controller through the reverse conversion process in an offline environment and are determined by the engine generating power requirements and engine optimal operating point algorithm. These algorithms and signal conversion circuits for engine torque transmission have been mounted on the vehicle controller to conduct the virtual accelerator opening position conversion process according to the engine target torque and to establish the virtual accelerator voltage signal using the signal converter.

Parameters Optimization for Extended-range Electric Vehicle Based on Improved Chaotic Particle Swarm Optimization

Yongchen Jiang,Cheng Lin,Wanke Cao 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.9

Extended-range electric vehicle is considered to be the ideal transition type for electric vehicle. The optimal operation curve control strategy was proposed for a 12 meter-long range extended electric bus. With exponential function inertia weight adjustment and local chaos substitution, an improved chaotic particle swarm optimization algorithm was applied to optimize the key parameters of energy management strategy. Based on MATLAB/Simulink, full vehicle model and corresponding control strategy were built. The simulation results with typical city driving cycles illustrate that, comparing with standard particle swarm optimization, the new algorithm can greatly improve the convergence speed and optimizing precision, and the optimal parameters can be obtained.

주행거리연장형 전기자동차를 위한 발전기 가동시점 알고리즘 개발

황명환 ( Myeong-hwan Hwang ),이계성 ( Gye-seong Lee ),김동현 ( Dong-hyun Kim ),차현록 ( Hyun-rok Cha ) 조선대학교 공학기술연구원 2018 공학기술논문지 Vol.11 No.3

This paper describes how to determine the optimal generator operating point for Re-EV(Range-extended Electric Vehicle). Re-EV is being developed as one of the solutions to the short driving range and charge problem of electric vehicles. It can solve the problem of battery full discharge with fuel remaining in existing algorithms. The proposed algorithm through actual driving tests can be used in nonlinear power consumption patterns. And it is applicable to other range-extended electric vehicles. Simulation and experiment result validate the effectiveness of the proposed algorithm.

SUV급 E-REV의 요구 동력 성능을 고려한 동력원 용량선정 및 성능 해석

이대흥(Daeheung Lee),정종렬(Jongryeol Jeong),박영일(Yeongil Park),차석원(Suk Won Cha) 한국자동차공학회 2013 한국 자동차공학회논문집 Vol.21 No.2

It is very important to determine specifications of components included in the drive-train of vehicles at the initial design stage. In this study, component sizing process and performance analysis for Extended-Range Electric Vehicles (E-REV) are discussed based on the foundation of determined system configuration and performance target. This process shows sizing results of an electric driving motor, a final drive gear ratio and a battery capacity for target performance including All Electric Range (AER) limit. For E-REV driving mode, the constant output power of a Gen-set (Engine+Generator) is analyzed in order to sustain State of Charge (SOC) of the battery system.

E-REV 버스의 전기 주행 가능 거리를 고려한 배터리 용량 선정 연구

최종대(Jongdae Choi),이대흥(Daeheung Lee),정종렬(Jongryeol Jeong),박영일(Yeongil Park),차석원(Suk Won Cha) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11

Nowadays, there are many researches about Electric Vehicle (EV) because of high oil prices and exhaust gas. However EV has limited mileage yet. To improve this problem, researches for Extended-Range Electric Vehicles (E-REV) which have a light internal engine to generate additional electric are progressing considerably. In this study, battery sizing process for E-REV Bus is discussed based on the required All Electric Range (AER). Once target performances like AER are decided, battery capacity is calculated using simple equation and backward simulation. To verify backward simulator’s reliability, it is compared with AUTONOMIE results. State of Charge (SOC) of battery pack is limited from 90% to 20% of the total battery capacity and simulations are conducted under several driving cycles. Considering the AER, the battery capacity and electric economy for regenerative ratio are obtained .

EREV 시뮬레이션 프로그램 개발

이종섭(Jongseop Lee),이용규(Yongkyu Lee),박진일(Jinil Park),이종화(Jonghwa Lee) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11

Because of environment degradation, development of electric vehicles have been actively taken place. However, because the electric vehicles cannot drive a long distance, automotive companies are developing an EREV to overcome a limitation of a driving distance for an electric vehicle. EREV is abbreviation of Extended-Ranged-Electric-Vehicle as a means Electric vehicle which increase the driving distance. In this study, a EREV simulation model is developed to predict a fuel-economy and performance. This program is developed using Matlab-Simulink based on research of the energy flow or EREV. Using the program, User can predict the fuel economy, All electric range, Performance and etc. Simulation results are come in useful to testing many cases of EREV specification and test condition. This simulation will be useful to set a EREV specification to improve an fuel-economy and performance.

E-REV 버스의 구동 성능 분석을 위한 전방향 시뮬레이터 개발

최종대(Jongdae Choi),이대흥(Daeheung Lee),정종렬(Jongryeol Jeong),이희윤(Hee Yun Lee),박영일(Yeongil Park),차석원(Suk Won Cha) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5

Because of high oil prices and emission gas problems, many governments tighten regulation of fuel economy and emission gas. For passenger car, there are many researches for plug-in hybrid electric vehicles and they are being manufactured. On the other hand, there are few researches for plug-in hybrid electric bus that is heavy commercial vehicle. In this study, components sizing of E-REV bus is conducted considering target vehicle performance and AER. Based on results of components sizing, forward simulator is developed for analysis of E-REV bus using Autonomie.

주행거리에 따른 EREV 연비 특성 시뮬레이션

이용규(Yongkyu Lee),이동현(Donghyun Lee),박진일(Jinil Park),이종화(Jonghwa Lee) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11

Because of the limitations of fossil fuels, the development of electric vehicles is actively taking place. However, the electric vehicles can"t move a long distance due to low-level performance of the current battery. So, Automotive companies are developing EREV to reduce a limitation of driving distance for electric vehicle. EREV is abbreviation of Extended-ragned-electric-vehicle as a means Electric vehicle which increase the driving distance. In this study, simulation is made up to predict fuel consumption of EREV. Using the simulation, to predict AER driving distance and fuel economy according to SOC control range.