Bandwidth-Based Control Strategy for a Series HEV With Light Energy Storage System

Shahverdi, Masood; Mazzola, Michael S.; Grice, Quintin; Doude, Matthew

doi:10.1109/tvt.2016.2559949

Cited by 31 publications

(12 citation statements)

References 23 publications

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“…In the series design, the vehicle's wheels are only rotated by the electric motor, which provides driving power, without the ICE [135,136]. The ICE is only used as a generator which supplies electrical power for the electric motor (EM).…”

Section: Itm For Hybrid Power Sourcesmentioning

confidence: 99%

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

et al. 2017

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Abstract:With the increasing demands for vehicle dynamic performance, economy, safety and comfort, and with ever stricter laws concerning energy conservation and emissions, vehicle power systems are becoming much more complex. To pursue high efficiency and light weight in automobile design, the power system and its vehicle integrated thermal management (VITM) system have attracted widespread attention as the major components of modern vehicle technology. Regarding the internal combustion engine vehicle (ICEV), its integrated thermal management (ITM) mainly contains internal combustion engine (ICE) cooling, turbo-charged cooling, exhaust gas recirculation (EGR) cooling, lubrication cooling and air conditioning (AC) or heat pump (HP). As for electric vehicles (EVs), the ITM mainly includes battery cooling/preheating, electric machines (EM) cooling and AC or HP. With the rational effective and comprehensive control over the mentioned dynamic devices and thermal components, the modern VITM can realize collaborative optimization of multiple thermodynamic processes from the aspect of system integration. Furthermore, the computer-aided calculation and numerical simulation have been the significant design methods, especially for complex VITM. The 1D programming can correlate multi-thermal components and the 3D simulating can develop structuralized and modularized design. Additionally, co-simulations can virtualize simulation of various thermo-hydraulic behaviors under the vehicle transient operational conditions. This article reviews relevant researching work and current advances in the ever broadening field of modern vehicle thermal management (VTM). Based on the systematic summaries of the design methods and applications of ITM, future tasks and proposals are presented. This article aims to promote innovation of ITM, strengthen the precise control and the performance predictable ability, furthermore, to enhance the level of research and development (R&D).

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Section: Itm For Hybrid Power Sourcesmentioning

confidence: 99%

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

et al. 2017

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“…The concept of EV can be further divided into three categories in general, which are BEV [62], HEV [63][64][65], and FCEV [66]. The volume of battery storage is the main issue that exists for BEV, and BEV is mainly feasible for the cases when small battery size is needed, for example, the small EVs in short-range low-speed community transportation applications.…”

Section: Pe Techniques In Evmentioning

confidence: 99%

An Overview of Power Electronics Techniques in Electric Systems for Transport Applications

2017

International Journal of Research Studies in Electrical and Ele

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“…To reduce fuel consumption, greenhouse gasses (GHG) emission and battery aging, researchers have formerly investigated new power management designs [1,2] as the main technology for future electrified vehicles. Various on-line and off-line control strategies have been examined for enhancing the efficiency of power distribution in-between onboard power/energy sources.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of the Battery Model for Model Predictive Control: Implementable to a Plug-In Hybrid Electric Vehicle

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Shahverdi

et al. 2018

WEVJ

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Developing an efficient online predictive modeling system (PMS) is a major issue in the field of electrified vehicles as it can help reduce fuel consumption, greenhouse gasses (GHG) emission, but also the aging of power-train components, such as the battery. For this manuscript, a model predictive control (MPC) has been considered as PMS. This control design has been defined as an optimization problem that uses the projected system behaviors over a finite prediction horizon to determine the optimal control solution for the current time instant. In this manuscript, the MPC controller intents to diminish simultaneously the battery aging and the equivalent fuel consumption. The main contribution of this manuscript is to evaluate numerically the impacts of the vehicle battery model on the MPC optimal control solution when the plug hybrid electric vehicle (PHEV) is in the battery charge sustaining mode. Results show that the higher fidelity model improves the capability of accurately predicting the battery aging.

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Bandwidth-Based Control Strategy for a Series HEV With Light Energy Storage System

Cited by 31 publications

References 23 publications

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

An Overview of Power Electronics Techniques in Electric Systems for Transport Applications

Sensitivity Analysis of the Battery Model for Model Predictive Control: Implementable to a Plug-In Hybrid Electric Vehicle

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