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Data Driven Decisions to Calculate CO2 Emission for Materials Derived from Estimated Vehicle Weight Mercedes-Benz R&D India Pvt. Limited
- Format:
- Book
- Conference/Event
- Author/Creator:
- Majumder, Kuntal, author.
- Conference Name:
- Symposium on International Automotive Technology (2024-01-23 : Pune, India)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2024
- Summary:
- This paper discusses the significant impact of changes in a car's gross weight due to various factors such as special accessories, parts, and materials, and how these changes can affect the car's CO2 emissions. Changes in the gross weight of a car can have a profound influence on its environmental footprint, particularly in terms of carbon dioxide (CO2) emissions. This is because the weight of the vehicle directly affects its fuel efficiency and overall environmental performance. The paper highlights that within each carline, there are multiple variants offered to customers, and these variants come with distinct combinations of parts and accessories, adding to the customization options. To accurately determine the CO2 emissions for each variant, it's essential to have a predictive system in place to estimate the gross weight of the cars. To achieve this, the paper suggests using historical data related to the weight of each part used in manufacturing the cars. By leveraging this historical information, it becomes possible to predict the estimated gross weight of a car for any given combination of parts and accessories. This predicted weight can then be employed to calculate the estimated CO2 emissions accurately. In summary, the paper underscores the need for a systematic approach to assessing the environmental impact of cars, considering the influence of part combinations and their associated weights on the overall emissions profile
- Notes:
- Vendor supplied data
- Publisher Number:
- 2024-26-0159
- Access Restriction:
- Restricted for use by site license
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