Automated Battery Management Systems for Electric Vehicles [Research Brief]

Na, Woonki; Xie, Yuanyuan

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Automated Battery Management Systems for Electric Vehicles [Research Brief]

2026-07-01
By Na, Woonki ; Xie, Yuanyuan

File Language:

English

Details

Creators:

Na, Woonki ; Xie, Yuanyuan
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute
Corporate Contributors:

California State University, Fresno. Fresno State Transportation Institute (FSTI) ; State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; Fresno County Transportation Authority ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:

Active Cell Balancing Artificial Intelligence Battery Management System Cost Effectiveness Electric Vehicles Fuel Cell Vehicles Infrastructure Literature Reviews Performance Reliability Storage Batteries
Publication/ Report Number:

2534
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Research Brief
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

Electric vehicles (EVs) are at the heart of the global transition to sustainable transportation. Their performance and safety depend critically on large lithium-ion battery packs-yet these packs face a persistent engineering challenge: cell imbalance. When individual cells charge and discharge at different rates due to manufacturing variability, aging, and uneven heat distribution, the entire pack becomes limited by its weakest cell. Left unaddressed, imbalance accelerates battery degradation, reduces driving range, and can trigger dangerous overheating. This research tackled the question: which active cell-balancing architecture delivers the best combination of speed, efficiency, and safety for next-generation electric vehicles?
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:54367d802fff1a3b858679b652568b2de4ea6335634693965b83fa3f095badb8e3efd99448d53111fc767210df963576903e98326a5406afbd71ea788074fa6c
Download URL:

https://rosap.ntl.bts.gov/view/dot/92982/dot_92982_DS1.pdf
File Type:

[PDF - 727.70 KB ]

File Language:

English

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