Innovations in Fuel Economy and Sustainable Road Transport -  Institution of Mechanical Engineers

Innovations in Fuel Economy and Sustainable Road Transport (eBook)

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2011 | 1. Auflage
248 Seiten
Elsevier Science (Verlag)
978-0-85709-587-9 (ISBN)
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This book presents the papers from the Innovations in Fuel Economy and Sustainable Road Transport conference, held in Pune, India, 8-9 November, 2011. Papers examine advances in powertrain, alternative fuels, lightweight vehicles, electric vehicles and hybrid vehicles. An international assembly of senior industry representatives provide insight into research and technological advances in low carbon technology sustainability for road transport, helping towards achieving stringent emissions standards and continual improvements in fuel economy efficiency, all in an expanding Indian market. These technical papers from industry and academia discuss the developments and research of leading organisations.
  • Discusses maximising powertrain performance for a low carbon agenda
  • Provides readers with an understanding of the latest developments in alternative fuels
  • Examines the future landscape for the implementation and development of electric vehicles


The Institution of Mechanical Engineers is one of the leading professional engineering institutions in the world.
This book presents the papers from the Innovations in Fuel Economy and Sustainable Road Transport conference, held in Pune, India, 8-9 November, 2011. Papers examine advances in powertrain, alternative fuels, lightweight vehicles, electric vehicles and hybrid vehicles. An international assembly of senior industry representatives provide insight into research and technological advances in low carbon technology sustainability for road transport, helping towards achieving stringent emissions standards and continual improvements in fuel economy efficiency, all in an expanding Indian market. These technical papers from industry and academia discuss the developments and research of leading organisations.Discusses maximising powertrain performance for a low carbon agendaProvides readers with an understanding of the latest developments in alternative fuelsExamines the future landscape for the implementation and development of electric vehicles

Lithium-ion pack thermal modeling and evaluation of indirect liquid cooling for electric vehicle battery thermal management


S. Chacko and S. Charmer,     Tata Motors European Technical Centre plc, Vehicle Integration, UK

1 Introduction


The thermal management of traction battery that incorporates Li-ion cell is an important design attribute that automotive manufacturers need to consider. A battery thermal management (BTM) strategy is needed to ensure that battery cells remain within a narrow temperature bandwidth regardless of vehicle environment and operating condition, this is required to ensure that attributes such as performance, range, battery life, reliability and safety are met. Tata motors have recently developed an advanced BTM system for Vista EV. This system has been developed to ensure that the temperature of a cell within a battery pack is maintained within an ideal zone. Previous work and our in-house EV vehicle tests has clearly identified that temperature influences a cells ability to accept charge and to discharge; it also influences safety, reliability and the life characteristics of a cell. It is observed that the ideal temperature gradient within a Li-Ion cell, and from cell to cell within a pack, should be held within a 5 to 10 °C window [1]. With the above in mind active indirect liquid cooling/heating would be one of the promising means to achieve BTM [2,3]. The developed system would then be able to remove heat from the battery pack and exchange it to the environment via a pumped coolant network. The BTM system will also have the flexibility to thermally pre-condition the battery, thus ensuring the customer can access optimum performance and range of the vehicle regardless of environmental conditions [4].

2 Li-Ion Battery Pack Configuration


The battery configuration described in this study incorporates conditioned coolant that is pumped through a coolant plate attached to a battery module. Active heating and cooling is achieved by pumping either warmed or cooled/sub cooled coolant through the coolant plate. Coolant temperature can be precisely controlled based on the battery temperature and its operating condition. The design concept for any given operating condition, precisely control coolant temperature, maintaining battery temperature within the ideal range (self-regulating zone in figure 1).

Figure 1 (a) Cell optimum operating range

Figure 2(a) presents the layout of a Vista EV battery module with liquid cooling plate, the plate is housed between modules and is designed to transfer heat via coolant which is then dissipated into the environment (via a coolant to air network). The cooling plate as in figure 2(b) is designed to transfer heat at the optimum rate. It is important to achieve optimum heat transfer efficiency with minimum loss, this minimizes parasitic losses within the system and facilitates efficient coolant pump/radiator selection. By optimizing the design the BTM system draws minimum power from the EV system thus maximizing vehicle range [59].

Figure 2 (a) Battery module with cooling plates (b) Cooling plate geometry

Figure 3(a) shows the Vista EV complete assembly with two sets of battery. Each battery pack has within it a number of individual battery modules. A battery module is a combination of stacked Li-ion cells which are arranged with coolant jacket plates placed on two sides as shown in figure 2(a). Each cell within the module is housed in a plastic cassette frame. A heat transfer plate made of a thin aluminum sheet is also wrapped around the cell, this provides an efficient heat transfer path from the cell core to the cooling plate. The heat transfer plate is a planar member covering one longitudinal side of the cell and extending along the transverse side of the cell. The side face of heat transfer plate along with the thickness of the cell connects to the coolant jacket plate, this facilitates a conduction path between cell and coolant plate. The coolant channels are optimized to minimize the pumping pressure required to flow coolant through the channel while maximizing heat transfer efficiency. The inlet portion of the coolant channel is routed to the top of the cells first to allow maximum heat transfer efficiency as it is envisaged that heat generation is at its maximum in the upper portion of a cell. The channel is routed from top to the bottom of the plate, covering a substantial width of the plate. Through these channels conditioned coolant is flowed to thermally manage the cells. Coolant plates are arranged in rows between battery modules. The total arrangement is placed in a tray and coolant inlet and outlet pipes figure 3(b) are routed within this tray.

Figure 3 (a) Battery assembly layout (b) Battery with coolant pipes layout

3 Battery Thermal Management Development Tools


TMETC apply a wide variety of tools and techniques in developing vehicle thermal management systems. The company is well rehearsed in applying advanced testing and CAE methods on ICE powered passenger, commercial and military vehicles. By adopting Thermo fluid CAE tools such as Kuli, RadTherm and Fluent (CFD) the team, were able to develop a robust thermal management system for Vista EV in a timely manner. However one area the team were not initially converse in was the electro thermo characteristics of Li-Ion cells, here the team had to develop an additional tool and technique that would slot well within our tried and tested methods.

3.1 Cell Electro-Thermal Modeling


The Vista EV battery pack employs 300 20 Ah high energy density lithium ion polymer pouch cells, the cells architecture is made up of graphite [anode] and a Li[NiCoMn]O2 [cathode]. TMETC developed an electro thermo characterization test method, were one cell from the pack was taken and cycled within the operating limits specified by the cell supplier. The cycle consists of constant current (CC) charge and discharge rates. The electrical and thermal measurements at different temperatures and discharge rates were recorded. It data for a various state of charge (SOC), current and discharge/charge rate was collected to enable cell electro-thermal behavior prediction for known vehicle test cycle.

There are limited simulation tools available which cater directly to the broad thermal management need of electric vehicles, one such example is the insight of heat generation prediction from batteries for any operating condition. We have used an in-house CAE technique where the cell characterization (from test data) is used to build the numerical electro-thermal model [14]. A Li-ion cell is a complicated electrochemical system. The electrodes (the anode and the cathode) of a cell are manufactured from complex composites materials. In order to obtain a reasonably accurate simulation for the thermal behavior of a battery cell, the configuration, geometry, physical, chemical and electrochemical properties need to be known when modeling the cell. The adopted strategy is to develop a simplified model of the electrochemistry of the battery cell. The cell is characterized by a structure formed with a homogeneous layer, representing the anode, cathode and separator. The local heat generation in the battery cell due to the electrochemical reactions and the mass transfer of ions in the electrolyte is characterized by local internal resistance and current densities. The performance of a cell is influenced by the charge/discharge rate, the ohmic resistance, the activation polarization or charge transfer at the electrodes, the concentration polarization in the electrolyte near the electrodes, and the cell temperature. The proposed electro-thermal model [14] uses the polarization expression similar to the one proposed by Newman and Tiedemann, Gu [10,11]. The cell terminal voltage Vcell can be expressed as function of depth of discharge (DOD), where DOD = 1-SOC, electric current and temperature as shown in Equation Vcell.

The relationship is given by

Where the first term on the right hand side is the Ohm’s law term, and Y [S/m^2] is a conductance. The current density is defined as Jj = Ij/A, where Ij is the current normal to the active material, and A is the active material area. The second term U(DOD) [V] is the effective zero current voltage. Third term accounts for the Seebeck effect, where b is the Seebeck coefficient, Ti is the cell temperature, and Tref is the ambient temperature. This is a pseudo-steady model devoid of any dynamics approximated as a voltage source, internal resistance, and a temperature compensation term derived from fitting parameters around the test data. The fitting coefficients for Y and U are calculated from the derived voltage versus current density, where Y requires the slope and U requires the intercept.

A cell energy balance is the basis from which the cell thermal behavior is estimated. The mode of heat transfer dominant within the cell is conduction, and the heat loss to ambient is defined by convection. Hence temperature distribution across the cell due to an electric loading comprising of cell discharge or...

Erscheint lt. Verlag 19.10.2011
Sprache englisch
Themenwelt Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Wirtschaft
ISBN-10 0-85709-587-0 / 0857095870
ISBN-13 978-0-85709-587-9 / 9780857095879
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