EV energy consumption
210995209
EV Energy Management Strategies Considering Renewable Energy Consumption and Load Smoothing
In oder to solve the problems of orderly control of distributed renewable energy and electric vehicles(EV) in the distribution network, this paper studies the orderly energy management of distributed renewable energy and EV. The probability distribution of wind power and solar power are analyzed, and the equivalent load model of wind solar power is established by probabilistic method. Meanwhile, the analysis based on random travel simulation is carried out, and model of EV is established as well, which refinines and completing the structure methods of the travel feature. At the same time, the three layer energy management model of the EV is constructed, the duties and task division between network dispatching center and charging service provider are clarified, as well proposing the energy management strategy of tight coupling and loosely coupling. The simulation results show the energy management model proposed in this paper can effectively promote renewable energy consumption and load smoothing, which meets the needs of charging service providers through receiving guidance and self regulation of EV in their jurisdiction area.
2019 IEEE Sustainable Power and Energy Conference (iSPEC)
Chengyong Shi Jie Luo
18704506
Accuracy Evaluation by GPS Data Correction for the EV Energy Consumption Database
Electric vehicles (EVs) are expected to be applicable to smart grids because they have large capacity batteries. It is important that smart grid users be able to estimate surplus battery energy and/or surplus capacity in advance of deploying EVs. We constructed a database, the Energy COnsumption LOG (ECOLOG) Database System, to store vehicle daily logs acquired by smartphones placed in vehicles. The electrical energy consumption is estimated from GPS coordinate data using an EV energy consumption model. This research specifically examines commuting with a vehicle used for same route every day. We corrected GPS coordinate data by map matching, and input the data to the EV energy consumption model. We regard the remaining battery capacity data acquired by the EV CAN as correct data. Then we evaluate the accuracy of driving energy consumption logs as estimated using the corrected GPS coordinate data.
MobiQuitous
Toshiaki Uemura Yuta Kashiwabara Daiki Kawanuma Takashi Tomii
59138690
The Evaluation of EV Energy Consumption and Emission and Its Comparison of at Home and Abroad
This paper analyzed energy consumption and emission estimation method of Blade Electric Vehicles(BEV) both in home and abroad at first, compare its similarity and difference; Then we analyzed consumption and emission of HEV and PHEV, carefully compared the difference between China and America and drawn a conclusion that China is worse than America; At last we gave a brief introduction of EREV's consumption and emission analysis.
Si-yu Pan
115594892
The Evaluation of EV Energy Consumption and Emission and Its Compare in Home and Abroad
Si-yu Pan
114369463
The Effect of Driving Manners on EV Energy Consumption
EV energy consumption was affected by driver's driving characteristic and could be lowered by perfect driving manners.The difference of energy consumption driving by different drivers was tested and driving characters of affecting the difference were discussed according to test results of electric vans running in Ji'nan city.Factors influencing EV energy consumption,such as vehicle acceleration,speed,energy recovery,driving cycle and motor overload were tested and analyzed.By vehicle controller,motor torque and over speed were controlled,and therefore driving parameters to which energy consumption was sensitive were optimized.The test of optimized electric vans is carried out,and results indicated that energy consumption of optimized vans is lowered and insensitive to different drivers.Compared to the original one,energy consumption of optimized vans could be decreased as more as 34.94%
Zhang Hai-bo
126480395
Energy consumption and increased EV range evaluation through heat pump scenarios and low GWP refrigerants in the new test procedure WLTP
Abstract The aim of this work is to evaluate the cabin heating energy consumption and driving range for a battery electric vehicle. The vehicle was tested in climatic wind tunnel laboratory under Worldwide Harmonized Light duty vehicle Test Cycle. A heating load model was established and used to predict the heating requirements of the vehicle in different climate conditions. Three different heat pump systems and five refrigerants are also investigated. Results show an error within 5% for the established heating load model. Compared with PTC heating, the heat pump systems lead to much lower energy consumption between 41% and 72% for different scenarios. Besides, 20% and 30% recirculation air can reduce the overall consumed energy by an average of 28.5% and 36.6% respectively. Finally, the driving range of all the heat pump systems are much higher than that of PTC, which is between 14.2% and 31%
International Journal of Refrigeration
Binbin Yu Jingye Yang Dandong Wang Junye Shi Jiangping Chen
156441192
Preliminary Study on Evaluation System of EV Energy Consumption Economy
Abstrcat To define the evaluation standard of EV energy consumption economy and establish the evaluation system, the reasonable evaluation method of EV energy consumption is studied on the basis of long term running test of EV. The parameters of energy consumption economy such as driving range, capacity consumption per kilometer and energy consumption per kilometer are summarized. The merits and faults of these parameters are mentioned. As the overall merit of dynamic performance and energy consumption economy the energy utilization ratio is put forward. The function of this parameter is shown through calculation and analysis for different EVs. This is helpful to the study of the EV energy consumption economy and the comparison of energy consumption economies for different electric vehicles.
Sun Fengchun
203175014
A New Approach of EV Modeling and its Control Applications to Reduce Energy Consumption
Efficient energy usage of electric vehicles (EVs) is an important concern, especially in relation to the use of battery energy. This paper presents a strategy to make the use of battery energy more economical by employing a new modeling approach. One of the existing EV models, called the motor vehicle model, considers the motor and the longitudinal vehicle dynamics. In this study, the motor vehicle model is further simplified by ignoring the drag force, which will be referred to as the simple model. In addition, we propose a new approach of EV modeling by including the battery dynamics into a motor vehicle model and taking into account the drag force. This model is named the Integrated Battery Electric Vehicle (IBEV) model. In order to demonstrate the usefulness of the proposed model, controllers are designed using linear quadratic integral (LQI) control. Each controller is designed for several test cases based on a linearized integrated model, after which specific test cases are carried out on a nonlinear IBEV model. From these models, the energy consumption is analyzed based on several performance indices under a number of combinations of settings, i.e. battery type (lithium ion or lead acid battery) and shaft model (rigid or flexible shaft) Further, an LQI controller with a Kalman filter is designed and its performance is compared to LQI controllers with $4^\mathrm {th} and $5^\mathrm {th} order Luenberger observers. The simulation results shows that the use of IBEV model reduces energy consumption compared to the use of simple model in controller design, and that the LQI controller with Kalman filter can reduce the noise effect and is more economical than the controllers with other observers.
IEEE Access
Rina Ristiana Arief Syaichu Rohman Carmadi Machbub Agus Purwadi Estiko Rijanto
218593688
Construction of electric vehicle driving cycle for studying electric vehicle energy consumption and equivalent emissions
This paper proposes an effective and scientific method for the construction of a representative driving cycle for electric vehicles (EV) and takes it as a foundation for studying the energy consumption and equivalent emissions for EV. First, a test route is developed through the analysis of the topology of the Xi'an road structure and traffic flow. Second, the vehicle driving pattern data is gathered through an integrated method of chase car method and on board method. The velocity acceleration (V A) grid method is used to divide speed and acceleration data into micro states. Third, the proposed driving cycle construction method incorporates the Markov chain and Monte Carlo (MCMC) simulation method. Then, a filter process is designed to screen out the most representative driving cycle. Finally, the comparison of the simulation result and test results shows the constructed EV driving cycle is in line with reality, and estimating the EV's energy consumption per kilometer, driving range, and equivalent emissions under official driving cycles results in large relative errors. Therefore, the construction of a real world driving cycle for specific cities or areas is necessary to evaluate energy consumption, driving range, and equivalent emissions of EV.
Environmental Science and Pollution Research
Xuan Zhao Yiming Ye J Ma Peilong Shi Hualan Chen
156373075
Study on EV Energy Consumption Economy
In view of EV energy transmission,every part for energy transmission that may affect EV economy is analyzed. The battery,motor and mechanic transmission part may affect energy consumption economy. The effect of matching of battery and motor,motor and mechanic transmission mechanism to energy consumption economy is analyzed.
Yang Lei