Optimal energy management and recovery for FEV

Knoedler,; Steinmann,; Laversanne,; Jones, Jones; Huss,; Kural,; Sánchez,; Bringmann,; Zimmermann, Ralf

doi:10.1109/date.2012.6176557

Cited by 7 publications

(4 citation statements)

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“…Moreover the percentage, the HVAC contributes to the total power consumption in EVs (upto 20%), is more significant than in ICE vehicles (upto 9%). Therefore, this may affect the battery lifetime and EV driving range significantly, and due to the longer recharging time and relatively less number of charging stations, it may further worsen the situation for the driver and causes range anxiety [7]. Summary and conclusion from observations: the above analysis illustrates that HVAC power consumption is a significant factor in EVs and varies based on the ambient temperature.…”

Section: A Motivational Case Study On Hvac Load Analysismentioning

confidence: 90%

“…Hence, the BMS may optimize the battery or HESS usage based on the components' efficiency map. Also, [3] [7] have illustrated that the BMS may predict and optimize the energy consumption more efficiently by having the route information. In the process of optimizing the energy efficiency and battery lifetime by the BMS, the electrical motor power consumption has been Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”

Section: Introduction and Related Workmentioning

confidence: 98%

mentioning

confidence: 99%

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Battery lifetime-aware automotive climate control for electric vehicles

Vatanparvar

Faruque

2015

Proceedings of the 52nd Annual Design Automation Conference

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Electric Vehicle (EV) optimization involves stringent constraints on driving range and battery lifetime. Sophisticated embedded systems and huge number of computing resources have enabled researchers to implement advanced Battery Management Systems (BMS) for optimizing the driving range and battery lifetime. However, the Heating, Ventilation, and Air Conditioning (HVAC) control and BMS have not been considered together in this optimization. This paper presents a novel automotive climate control methodology that manages the HVAC power consumption to improve the battery lifetime and driving range. Our experiments demonstrate that the HVAC consumption is considerable and flexible in an EV which significantly influences the driving range and battery lifetime. Hence, this influence on the above-mentioned constraints has been modeled and analyzed precisely, then it has been considered thoroughly in the EV optimization process. Our methodology provides significant improvement in battery lifetime (on average 14%) and average power consumption (on average 39% reduction) compared to the stateof-the-art methodologies. I. INTRODUCTION AND RELATED WORKElectric Vehicles (EVs) have been accepted as sustainable solution and a new paradigm of transportation [1] to address the environmental issues caused by greenhouse gases and other pollutants coming from road transportation [2]. Despite the incentives provided by governments to promote EV deployment [3], EVs pose new challenges in the trade-off between costs and performance [4]. The driving range and battery lifetime are the challenges that have become major design objectives for EVs. The cost, volume, and weight constraints in battery pack design make them the major bottleneck restricting the amount of energy stored for driving [5]. On the other hand, the battery lifetime is directly related to the State-of-Health (SoH) which represents the battery capability to store and deliver energy. The SoH degrades over time according to the battery usage pattern and the battery will become useless when it degrades for about 20% [6]. In order to alleviate the driving range and battery lifetime issue, a Battery Management System (BMS) is typically implemented to monitor and control the battery cells [1]. The BMS prevents overcharging, overdischarging, overheating, and imbalance of battery cells to improve their energy efficiency and lifetime. By presenting Hybrid Energy Storage System (HESS) [3] that may consist of ultracapacitors accompanied with battery cells, the BMS evolved to handle the charge management for heterogeneous energy storage to improve energy efficiency and battery lifetime. Other components inside EV, e.g. power converters, inverters, electrical motor, etc. demonstrate different efficiency in various conditions. Hence, the BMS may optimize the battery or HESS usage based on the components' efficiency map. Also, [3] [7] have illustrated that the BMS may predict and optimize the energy consumption more efficiently by having the route information. In the process of optimizin...

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Section: A Motivational Case Study On Hvac Load Analysismentioning

confidence: 90%

Section: Introduction and Related Workmentioning

confidence: 98%

mentioning

confidence: 99%

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Battery lifetime-aware automotive climate control for electric vehicles

Vatanparvar

Faruque

2015

Proceedings of the 52nd Annual Design Automation Conference

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“…Although knowing the SoC and planning a suitable route with public fast charging stations might make the EVO convenient enough to drive an EV, researchers suggest to improve the efficiency of in-vehicle components and manage the energy consumption in order to maximize the global efficiency, minimize energy loss, extend the range, and reduce range anxiety [30], [43], [48]- [50]. While invehicle energy management might help, using of range extenders is also considered as another solution for reducing range anxiety [15], [51]- [54].…”

Section: In-vehicle Energy Managementmentioning

confidence: 99%

Reducing Range Anxiety by Unifying Networks of Charging Stations

Salah

Kama

2016

MATEC Web Conf.

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Abstract. Availability of charging infrastructure is an important factor in penetration of electric vehicles into daily transportation system. Several factors in electric vehicle industry have caused range anxiety including insufficient charging stations, limited range of electric vehicles, long charging time, inaccurate estimation of available range, and energy consumption of auxiliary in-vehicle devices. However less attention has been paid to universality in charging station networks. This paper reviews the solutions to range anxiety. With regards to availability of charging station as one of the solutions, accessibility of charging stations by electric vehicle owners is also represented as another cause of range anxiety and a possible solution is provided.

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