Minimizing battery stress during hybrid electric vehicle control design: Real world considerations for model-based control development

Christopher Vagg; C J Brace; S Akehurst; Lloyd Ash

doi:10.1109/VPPC.2013.6671713

Minimizing battery stress during hybrid electric vehicle control design: Real world considerations for model-based control development

Christopher Vagg, C J Brace, S Akehurst, Lloyd Ash

Department of Mechanical Engineering

Ashwoods Automotive Ltd

Research output: Contribution to conference › Paper › peer-review

6 Citations (SciVal)

269 Downloads (Pure)

Abstract

In a mild hybrid electric vehicle (HEV) aggressive use of the electrical powertrain is desired to maximize the benefits from hybridizing the vehicle, however this has negative consequences for battery management, battery state of health, and motor temperature. In this paper a control strategy cost function is presented which can minimize these negative effects without significantly affecting the achievable reduction in fuel consumption, and without requiring a detailed battery model or a motor thermal model. This concept is demonstrated on a retrofit HEV unit developed by Ashwoods Automotive, with a model validated using chassis dynamometer test data. Dynamic Programming (DP) is used to optimize the controller, and some limitations of DP which are not often recognized are discussed.

Original language	English
Pages	329-334
Number of pages	6
DOIs	https://doi.org/10.1109/VPPC.2013.6671713
Publication status	Published - 2013
Event	VPPC 2013: The 9th IEEE Vehicle Power and Propulsion Conference - Beijing, China Duration: 15 Oct 2013 → 18 Oct 2013

Conference

Conference	VPPC 2013: The 9th IEEE Vehicle Power and Propulsion Conference
Country/Territory	China
City	Beijing
Period	15/10/13 → 18/10/13

Keywords

control
battery health
battery management system (BMS)
battery stress
dynamic programming
hybrid electric vehicle (HEV)
real world
retrofit
simulation

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10.1109/VPPC.2013.6671713

Author's accepted version
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Accepted author manuscript, 496 KB

Cite this

Minimizing battery stress during hybrid electric vehicle control design: Real world considerations for model-based control development. / Vagg, Christopher ; Brace, C J ; Akehurst, S et al.
2013. 329-334 Paper presented at VPPC 2013: The 9th IEEE Vehicle Power and Propulsion Conference, Beijing, China.

Research output: Contribution to conference › Paper › peer-review

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abstract = "In a mild hybrid electric vehicle (HEV) aggressive use of the electrical powertrain is desired to maximize the benefits from hybridizing the vehicle, however this has negative consequences for battery management, battery state of health, and motor temperature. In this paper a control strategy cost function is presented which can minimize these negative effects without significantly affecting the achievable reduction in fuel consumption, and without requiring a detailed battery model or a motor thermal model. This concept is demonstrated on a retrofit HEV unit developed by Ashwoods Automotive, with a model validated using chassis dynamometer test data. Dynamic Programming (DP) is used to optimize the controller, and some limitations of DP which are not often recognized are discussed.",

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AU - Ash, Lloyd

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AB - In a mild hybrid electric vehicle (HEV) aggressive use of the electrical powertrain is desired to maximize the benefits from hybridizing the vehicle, however this has negative consequences for battery management, battery state of health, and motor temperature. In this paper a control strategy cost function is presented which can minimize these negative effects without significantly affecting the achievable reduction in fuel consumption, and without requiring a detailed battery model or a motor thermal model. This concept is demonstrated on a retrofit HEV unit developed by Ashwoods Automotive, with a model validated using chassis dynamometer test data. Dynamic Programming (DP) is used to optimize the controller, and some limitations of DP which are not often recognized are discussed.

KW - control

KW - battery health

KW - battery management system (BMS)

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KW - dynamic programming

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KW - real world

KW - retrofit

KW - simulation

UR - http://www.vppc.org/

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ER -

Minimizing battery stress during hybrid electric vehicle control design: Real world considerations for model-based control development

Abstract

Conference

Keywords

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