Patent Analysis of the Electric Vehicle Battery Management Systems Based on the AHP and Entropy Weight Method
With the rapid development of the electric vehicle (EV) industry, the importance of battery management systems (BMS) in ensuring the safety, reliability, and efficiency of batteries has significantly increased. This study explores the technological development trends and market layout of EV BMS through patent analysis, focusing on patent quantity, geographic distribution, and technical classification. By integrating the analytic hierarchy process (AHP) and entropy weight method, a patent value evaluation model was constructed to identify key patents and assess their quality across four dimensions: technical, market, economic, and legal. The results reveal that BMS patents are primarily concentrated in China, the United States, and South Korea, with major contributors including LG Energy Solution, BYD, and Hyundai. While BMS patent applications grew rapidly from 2015 to 2020, the pace has slowed since 2021, indicating a possible shift in market focus. The analysis identified 14 high-quality patents, mainly focused on battery safety and compactness, while fewer patents addressed battery lifespan extension and anti-interference capabilities. The study suggests that although significant progress has been made in BMS technology, there is still substantial room for innovation, particularly in areas such as battery lifespan management, charging efficiency, and intelligent energy scheduling. This research provides valuable insights for future technological innovation and market decision-making in the EV BMS sector.
Authors
- Dan Wan (ORCID: https://orcid.org/0000-0002-7474-6855)
- Hao Zhan (ORCID: https://orcid.org/0000-0003-0469-3716)
- Ling Peng (ORCID: https://orcid.org/0000-0002-7219-804X)
Institutions
- Hunan Normal University (CN)
- Xiamen University (CN)
Publication Details
- Journal
- World Electric Vehicle Journal
- Published
- 2025-04-05
- DOI
- https://doi.org/10.3390/wevj16040218
- Citations
- 1
- Primary Topic
- Engineering Applied Research
- Type
- article
- Field-Weighted Citation Impact
- 0.95
Funders
- Hunan Normal University