Optimal Usage of Engine Torque for a Disconnect Device in Situations Where Battery Power is Constrained

<div class="section abstract"><div class="htmlview paragraph">This paper introduces a novel approach to optimize battery power usage and optimal engine torque for Axle disconnect device engagement under power constrained scenarios for range extended hybrid vehicles. Range extended hybrid architecture provides benefits of BEV architecture and relief the range anxiety that BEV drivers often have. The Axle disconnect device helps improve the efficiency of the battery power usage when it is disconnected and provides better drivability and performance to fulfill driver demand when it is connected [<span class="xref">1</span>]. Under power constraint scenario, the disconnect device engagement could take too long or eventually fail to engage and result in degradation for drivability and vehicle level performance. This novel approach is utilizing the engine to either generate more power to spin up the disconnect motor faster under discharge limited case or generate less power to allow the disconnect motor to spin down under charge limited case. The effectiveness of this approach is demonstrated through vehicle results by reducing the spin up time from longer than 2sec to 0.73sec and spin down time from longer than 3sec to 0.2sec under battery power constraint scenarios.</div></div>

Authors

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8578
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Usage of Engine Torque for a Disconnect Device in Situations Where Battery Power is Constrained

Joe Rock, Krishna Madireddy, Nadirsh Patel, Subash Khanal et al.
SAE technical papers on CD-ROM/SAE technical paper series
Electric Power Systems and Control
article

Optimal Usage of Engine Torque for a Disconnect Device in Situations Where Battery Power is Constrained

Joe Rock, Krishna Madireddy, Nadirsh Patel, Subash Khanal, Hangxing Sha, Abdulquadri Banuso
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">This paper introduces a novel approach to optimize battery power usage and optimal engine torque for Axle disconnect device engagement under power constrained scenarios for range extended hybrid vehicles. Range extended hybrid architecture provides benefits of BEV architecture and relief the range anxiety that BEV drivers often have. The Axle disconnect device helps improve the efficiency of the battery power usage when it is disconnected and provides better drivability and performance to fulfill driver demand when it is connected [<span class="xref">1</span>]. Under power constraint scenario, the disconnect device engagement could take too long or eventually fail to engage and result in degradation for drivability and vehicle level performance. This novel approach is utilizing the engine to either generate more power to spin up the disconnect motor faster under discharge limited case or generate less power to allow the disconnect motor to spin down under charge limited case. The effectiveness of this approach is demonstrated through vehicle results by reducing the spin up time from longer than 2sec to 0.73sec and spin down time from longer than 3sec to 0.2sec under battery power constraint scenarios.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Openalex Percentile: Top 95%
Electric Power Systems and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.