URN | etd-0826119-110716 | Statistics | This thesis had been viewed 146 times. Download 3 times. |
Author | ZHEN-WEI HONG | ||
Author's Email Address | No Public. | ||
Department | Institute Of Mechanical Engineering | ||
Year | 2018 | Semester | 2 |
Degree | Master | Type of Document | Master's Thesis |
Language | zh-TW.Big5 Chinese | Page Count | 110 |
Title | To investigate the consumer behaviors towards the appropriate rate of usage of hybrids | ||
Keyword | |||
Abstract | The public must be more able to accept the products of hybrid compound power vehicles in the new energy market. At the same time, the products of hybrid vehicles can give more manufacture profits. The compound power consumption market has reached 9% in Taiwan in 2019. But, there are many shortcomings in the promotion of hybrid power products, such as expensive batteries, easy damage to motors, or difficult maintenance, all of which affect the products expansion. Therefore, this research will be aimed to provide people effectively with correct professional information. This research will focuses on the parts of hybrid compound power vehicles. It will collect the original maintenance information of T plants and L plants car, as well as refer domestic and foreign documents. It also will count and analyze the common breakdown phenomena. It explores the process of knowledge construction by thinking about its learning experience by the dialogue. This research first builds a database of breakdown analysis data for hybrid vehicles. The database is divided into Hybrid batteries, Hybrid brake booster master cylinders, Hybrid electromagnetic water pumps, Hybrid converter transformers, Hybrid gearboxes and other parts. Classify and discuss related breakdown factors and maintenance history will analyze the relationship between usage behavior and parts tolerance effectively. The results of the study prove effectively that the quality and durability of the hybrid power of the T plants and L plants are very good, and it can also provide consumers with awareness. Scientific analysis data can provide people effectively with correct professional information, enhance product expansion and increase the willingness to purchase hybrid vehicles. |
||
Advisor Committee | |||
Files | indicate in-campus access immediately and off-campus access at 5 years | ||
Date of Defense | 2019-07-27 | Date of Submission | 2019-08-26 |