Meng Ni
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Meng Ni has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Beibei Wang
School of Electrical Engineering Southeast University Nanjing China
1 shared publication - Junwen Song
Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
1 shared publication - Sirui Qi
Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
1 shared publication - Xinwei Lin
Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
1 shared publication - Yan Liu
Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
1 shared publication - Zhengchong Lin
Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
1 shared publication
Latest Publications
- Open Access
- 27 December 2021
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 13 (1) , 7
Research on Charging-Discharging Operation Strategy for Electric Vehicles Based on Different Trip Patterns for Various City Types in China
Connecting large numbers of electric vehicles to the power grid creates challenges for the operation of the power distribution network, but also provides a new method for supporting grid operation. This paper considers the trip patterns of electric vehicle users in China, including their trip starting time, traffic congestion, vehicle energy consumption, and other factors. We develop a charging–discharging operation strategy for electric vehicles in different functional areas with the goal of minimizing the cost of distribution network, which considers the distribution patterns of electric vehicles in different functional areas. As different types of cities in China have different proportions of electric vehicle users who follow different travel chains, we provide multiple examples showing the effectiveness of our proposed V2G method in different cities.
- 27 December 2021
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 13 (1) , 7
Open AccessResearch on Charging-Discharging Operation Strategy for Electric Vehicles Based on Different Trip Patterns for Various City Types in China
Connecting large numbers of electric vehicles to the power grid creates challenges for the operation of the power distribution network, but also provides a new method for supporting grid operation. This paper considers the trip patterns of electric vehicle users in China, including their trip starting time, traffic congestion, vehicle energy consumption, and other factors. We develop a charging–discharging operation strategy for electric vehicles in different functional areas with the goal of minimizing the cost of distribution network, which considers the distribution patterns of electric vehicles in different functional areas. As different types of cities in China have different proportions of electric vehicle users who follow different travel chains, we provide multiple examples showing the effectiveness of our proposed V2G method in different cities.