Using Fleet Analytics and MATLAB to Build Strategies for BS-VI Development
Shubham Garg, Honda
The motivation for this project at Honda is to develop strategies for BS6 norms and create tests for fuel economy and emission constraints. In this project, data is being collected in large volumes through telematics from field vehicles of different makes and operating in multiple geographical and climatic conditions. These varying operating conditions and driving patterns lead to varying vehicle performance, drive efficiency, and emissions. Furthermore, it leads to a vast difference in calibration needs since performance changes with the different riding and operating conditions of the field vehicle.
The challenges in this project were mainly the volume of the data that had to be churned to come up with any valid analysis, leading to a big data problem. The analysis had to be performed for data exploration, and feature engineering was aimed at achieving an understanding of the fuel economy profile for different geographical areas, variations based on temperature, and geographical terrain, as well as generating drive cycles capturing real-world driving scenarios. The team at Honda also needed to scale up to reduce the computational time due to the huge amount of data.
In this presentation, you will learn how the key challenges described above were addressed using MATLAB® and toolboxes.
Recorded: 19 Apr 2018
Featured Product
MATLAB
Up Next:
Related Videos:
웹사이트 선택
번역된 콘텐츠를 보고 지역별 이벤트와 혜택을 살펴보려면 웹사이트를 선택하십시오. 현재 계신 지역에 따라 다음 웹사이트를 권장합니다:
또한 다음 목록에서 웹사이트를 선택하실 수도 있습니다.
사이트 성능 최적화 방법
최고의 사이트 성능을 위해 중국 사이트(중국어 또는 영어)를 선택하십시오. 현재 계신 지역에서는 다른 국가의 MathWorks 사이트 방문이 최적화되지 않았습니다.
미주
- América Latina (Español)
- Canada (English)
- United States (English)
유럽
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
아시아 태평양
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)