Analysis on Difference of Energy Consumption by Electric Bus Drivers

• Main Authors: LAI,KUAN-HUNG, 賴冠宏
• Other Authors: LEE,MING-TSUNG
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/4kjv45

碩士 === 國立高雄第一科技大學 === 運籌管理系碩士專班 === 105 === Many countries are implementing new measures to solve the issues of global environment changes, thus making energy-saving and emissions reduction of electric vehicles become popular, and Taiwan government plans to replace 10,000 diesel buses with electric bus within 10 years. In accordance with this policy, the city buses will be replaced in the first place. Southern Taiwan Science Park Bureau (STSPB) launched three free electric shuttle buses to coordinate the government policies, serving the passengers between the Nanke station of Taiwan Railways Administration and some companies in Southern Tainan Science Park. In the future, STSPB will provide electric vehicles as the only shuttle buses to build a friendly environment. This paper, in the title of “The Influence of Drivers and Passengers per Kilometer to Power Consumption”, analyzed two independent variables (drivers & passengers per kilometer) on one dependent variable (power consumption) by repeating two-way ANOVA approach. The results indicated that Driver E appeared to have a profound effect on power consumption. In addition, there are significant differences between power consumption of Driver E and that of others in lower passengers per kilometer. Therefore, we inferred that Driver E had more power consumption in lower ridership. Nevertheless, there are still many issues needed to be resolved to make this plan successful, including reliability, battery life of electric bus. In addition, in the light of literature, the driver’s behaviors such as stepping on switch heavily, urgently stepping on brake, transforming lane arbitrarily, and exceeding the speed limit and moods are one of the factors of energy consumption. Hence, we hope that electric vehicles will become more efficient by taking superior drivers as a benchmark to improve their bad driving behaviors.