Battery State-of-health Adaptive Energy Management of Hybrid Electric Vehicles
Author:
Affiliation:
1. Politecnico di Torino,Department of Mechanical and Aerospace Engineering (DIMEAS),Torino,Italy
2. McMaster University,McMaster Automotive Resource Center (MARC),Hamilton,ON,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9813698/9813746/09813796.pdf?arnumber=9813796
Reference15 articles.
1. Battery state-of-health sensitive energy management of hybrid electric vehicles: Lifetime prediction and ageing experimental validation
2. Vehicle-level control analysis of 2010 Toyota Prius based on test data
3. Particle Emissions from Light-Duty Vehicles during Cold-Cold Start
4. Development of an Energy-Efficient Routing Algorithm for Electric Vehicles
5. Recommended practice for measuring the exhaust emissions and fuel economy of hybrid-electric vehicles, including plug-in hybrid vehicles;SAE Std J1711,2010
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1. Multi-objective optimum energy management strategies for parallel hybrid electric vehicles: A comparative study;Energy Conversion and Management;2023-02
2. Research on Adaptive Two-Point Energy Management Strategy and Optimization for Range-Extended Electric Vehicle;IEEE Access;2023
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