[Case Study] Analysis of Factors Contributing to the Improvement of Automotive Battery Performance
We will introduce a case where battery performance was predicted using ensemble learning in response to the challenge of clarifying the relationship between battery performance and material properties.
We would like to introduce a case study where we analyzed the factors contributing to the improvement of battery performance in automobiles. In response to the challenge of clarifying the relationship between battery performance and material properties for the construction and operation of manufacturing processes aimed at the practical use of batteries in automobiles, we used battery material property data to predict battery performance through ensemble learning. By analyzing the feature importance of the constructed model, we identify the factors that significantly contribute to improving accuracy. 【Deliverables】 ■ Cleansed dataset (Excel) ■ Trained model (pickle) ■ Analysis script (Python) ■ Final report summarizing the analysis results *For more details, please refer to the PDF document or feel free to contact us.
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【Case Overview】 ■Challenges - In order to realize the practical use of batteries used in automobiles, we want to clarify the relationship between battery performance and material properties for the construction and operation of the manufacturing process. ■Procedure - Data receipt → Data cleansing → Model construction → Factor analysis → Document creation and reporting ■Man-hours - 1.5 person-months, Required duration: 3 months *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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【Company Introduction】 TechnoPro Design Co., Ltd. is a core company within the TechnoPro Group, the largest technical staffing service segment in Japan, boasting over 7,000 technical employees. We provide professional services such as engineering, contracting, and technical consulting, primarily in the manufacturing industry, focusing on technical areas such as AI/data science, control systems, mechanical design, and hardware and software development. We help our clients, including information industries, public and private research institutions, and university laboratories, solve a wide range of challenges they face. 【Provided Solutions】 ■ AI and Data Science ■ Cloud Services ■ Cybersecurity ■ Mechanical System Design ■ 5G/6G Networks