A strategy of load leveling by charging and discharging time control of electric vehicles

1998 ◽  
Vol 13 (3) ◽  
pp. 1179-1184 ◽  
Author(s):  
F. Koyanagi ◽  
Y. Uriu
Keyword(s):  
Electric Vehicles ◽  
Time Control ◽  
Load Leveling

scholarly journals Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Haoxuan Dong ◽  
Weichao Zhuang ◽  
Guodong Yin ◽  
Liwei Xu ◽  
Yan Wang ◽  
...  
Keyword(s):  
Double Layer ◽  
Electric Vehicles ◽  
Linear Time ◽  
Lower Layer ◽  
Dynamic Programming Algorithm ◽  
Programming Algorithm ◽  
Time Varying ◽  
Connected Vehicle ◽  
Real Time Control ◽  
Time Control

AbstractMost researches focus on the regenerative braking system design in vehicle components control and braking torque distribution, few combine the connected vehicle technologies into braking velocity planning. If the braking intention is accessed by the vehicle-to-everything communication, the electric vehicles (EVs) could plan the braking velocity for recovering more vehicle kinetic energy. Therefore, this paper presents an energy-optimal braking strategy (EOBS) to improve the energy efficiency of EVs with the consideration of shared braking intention. First, a double-layer control scheme is formulated. In the upper-layer, an energy-optimal braking problem with accessed braking intention is formulated and solved by the distance-based dynamic programming algorithm, which could derive the energy-optimal braking trajectory. In the lower-layer, the nonlinear time-varying vehicle longitudinal dynamics is transformed to the linear time-varying system, then an efficient model predictive controller is designed and solved by quadratic programming algorithm to track the original energy-optimal braking trajectory while ensuring braking comfort and safety. Several simulations are conducted by jointing MATLAB and CarSim, the results demonstrated the proposed EOBS achieves prominent regeneration energy improvement than the regular constant deceleration braking strategy. Finally, the energy-optimal braking mechanism of EVs is investigated based on the analysis of braking deceleration, battery charging power, and motor efficiency, which could be a guide to real-time control.

Performance of large-scale secondary lithium batteries for electric vehicles and home-use load-leveling systems

2003 ◽  
Vol 119-121 ◽  
pp. 887-892 ◽  
Author(s):  
K Takei ◽  
K Ishihara ◽  
K Kumai ◽  
T Iwahori ◽  
K Miyake ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Lithium Batteries ◽  
Large Scale ◽  
Secondary Lithium Batteries ◽  
Load Leveling

Applying fuzzy logic control to analyze real-time control for charging and discharging power of electric vehicles

2021 ◽  
pp. 1-7
Author(s):  
Feng Liu
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Power Grid ◽  
Regional Distribution ◽  
Real Time Control ◽  
Time Control ◽  
Logic Control

The disorderly charging of large-scale electric vehicles will aggravate the peak-valley difference of the power grid, and affect the power quality and life of the transformer. The fuzzy logic control strategy for charging and discharging optimization of charging vehicles under the framework of fuzzy logic control from the perspective of the group is considered in this article. A real-time control method based on the clustering characteristics of the charging end time is proposed according to the different charging requirements of the connected electric vehicles and fuzzy logic control is adopted to solve the problem of optimal charging and discharging power of the entire cluster and a single electric vehicle. A fuzzy logic control model considering the charging and discharging of electric vehicles is established orienting at minimize daily load fluctuations and control penalties in the upper layer. The charging and discharging cost of electric vehicle owners is considered to solve the optimal control problem of the charging and discharging power of a single electric vehicle. Taking the data of the typical regional distribution network load as an example, it is verified that the real-time charging optimization strategy under fuzzy logic control through simulation can ensure the reliable operation of the power grid while considering the interests of all parties.

Routing Electric Vehicles on Congested Street Networks

2020 ◽  
Author(s):  
Alexandre M. Florio ◽  
Nabil Absi ◽  
Dominique Feillet
Keyword(s):  
Electric Vehicles ◽  
Traffic Congestion ◽  
Control Policy ◽  
Time Dependent ◽  
Travel Times ◽  
Routing Problem ◽  
Promising Alternative ◽  
Street Networks ◽  
Time Control ◽  
The Impact

Freight distribution with electric vehicles (EVs) is a promising alternative to reduce the carbon footprint associated with city logistics. Algorithms for planning routes for EVs should take into account their relatively short driving range and the effects of traffic congestion on the battery consumption. This paper proposes new methodology and illustrates how it can be applied to solve an electric vehicle routing problem with stochastic and time-dependent travel times where battery recharging along routes is not allowed. First, a new method for generating network-consistent (correlated in time and space) and time-dependent speed scenarios is introduced. Second, a new technique for applying branch and price on instances defined on real street networks is developed. Computational experiments demonstrate the effectiveness of the approach for finding optimal or near-optimal solutions in instances with up to 133 customers and almost 1,500 road links. With a high probability, the routes in the obtained solutions can be performed by EVs without requiring intermediate recharging stops. An execution time control policy to further reduce the chances of stranded EVs is also presented. In addition, we measure the cost of independence, which is the impact on solution feasibility when travel times are assumed statistically independent. Last, we give directions on how to extend the proposed framework to handle recourse actions.

Sign in / Sign up

Export Citation Format

Share Document