NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.

Progress of Computer-Aided Engineering of 

Electric Drive Vehicle Batteries (CAEBAT)

P.I.s Ahmad A. Pesaran, National Renewable Energy Laboratory

 Taeyoung Han, General Motors

 Steve Hartridge, CD-adapco

 Christian Shaffer, EC Power

 Gi-Heon Kim, National Renewable Energy Laboratory 

 Sreekant Pannala, Oak Ridge National Laboratory

Project ID #ES117

NREL/PR-5400-58202

This presentation does not contain any proprietary, confidential, or otherwise restricted information.

Presented at the 2013 U.S. DOE Vehicle Technologies Office 

Annual Merit Review & Peer Evaluation Meeting 

Arlington, Virginia,13-17 May 2013

May 14, 2013
2

Overview 

Project Start Date: April 2010

Project End Date: September 2014

Percent Complete: 40% 

• Cost and life

• Performance and safety

• Lack of validated computer-aided 

engineering tools for accelerating 

battery development cycle 

Total Contractors’ Project Funding:

DOE Share to Contractors: $7 M

Contractors Share: $7 M

NREL/ORNL Funding in FY12: 

$1.6 M 

NREL/ORNL Funding for FY13: 

$1.5 M Anticipated

Timeline

Budget

Barriers

• NREL, project lead

• Oak Ridge National Laboratory (ORNL)

• EC Power/Penn State University/ 

Ford/Johnson Controls, Inc. (JCI)

• General Motors/ANSYS/ESim 

• CD-adapco/Battery Design/ 

JCI/A123/Idaho National Laboratory 

Partners

Funding provided by Dave Howell of the DOE Vehicle Technologies Office 

Activity managed by Brian Cunningham of Vehicle Technologies 
3

Computer Aided Engineering for 

Electric Drive Vehicle Batteries (CAEBAT)

• Simulation and computer-aided engineering (CAE) tools are widely used to 

speed up the research and development cycle and reduce the number of 

build-and-break steps, particularly in the automotive industry

• Realizing this, DOE’s Vehicle Technologies Program initiated the CAEBAT 

project in April 2010 to develop a suite of software tools for designing 

batteries

• These CAE software tools need to be user-friendly, multi-physic, 3D, fullyintegrated, and validated, and address materials, electrodes, cells, and 

packs for the battery community 

• The CAEBAT project is bringing the capabilities and expertise of the 

national laboratories, car and battery industries, universities, and 

software vendors

Battery Pack 

Level Models

Performance

Electrochemical & 

Material Stress Material Stress

Current & Heat 

Transport

Electrode

Level Models

Cell

Level Models

Material

Level Models

Fluid Dynamics

First Principles

Power Demand

 

Source: VARTA

 

Battery Pack 

Design Software

Relevance
4

Objectives 

• The overall objective of the CAEBAT project is to develop 

“validated” software tools by incorporating existing and new 

models for the battery community to design batteries faster

• Objectives of the past year (March 2012 to March 2013):

– GM: Release first version of cell and pack level tools for internal GM 

team evaluation

– CD-adapco: Release first version of 3-D electrochemical-thermal 

code in STAR-CCM+ for the spiral cell designs to the public

– EC Power: Release first version of the 3-D electrochemical-thermal 

code for all cell designs to the public

– NREL: Oversee CAEBAT project execution and enhance NREL’s multiscale and multi-domain framework to simulate all major cell 

form factors

– ORNL: Develop “standardize inputs” and “battery states” databases 

to allow interface between models by CAEBAT participants
5

Relevance 

• CAEBAT objectives are relevant to the Vehicle Technologies 

Program’s targets of:

– Plug-in hybrid electric vehicle (PHEV) battery costs of 

$300/kWh and life of 15 years by 2014

– PHEV battery costs of $270/kWh and life of 10+ years by 

2017

– Electric vehicle battery costs of $150/kWh and life of 10 

years by 2020

• The impact of this project when CAEBAT tools are made 

available could be significant:

– Shorter design cycles and optimized batteries 

– Simultaneously address barriers of cost, performance, life, 

and safety of lithium-ion with quantitative tools
6

Milestones 

Date Milestone Status

July 2012 Document latest NREL battery models, solution 

methods, and codes developed under CAEBAT 

(NREL)

Completed 

September 2012 Technical review of the three CAEBAT subcontracts 

(NREL)

Completed 

November 2012 Release first version of the 3D electrochemicalthermal code for all cell designs to the public 

(EC Power)

Completed 

January 2013 Release first version of cell and pack level tools for 

internal GM team evaluation. (GM)

Completed 

February 2013 Share first version of OAS database on 

Standardized Input and Battery State (ORNL)

Completed 

March 2013 Release first version of 3D electrochemical-thermal 

code in STAR-CCM+ for the spiral cell designs to the 

public (CD-adapco) 

Completed 
7

Overall CAEBAT Strategy

• NREL coordinates CAEBAT project activities for DOE

• Continue development and use (existing or new) battery models at national labs

• Exchange data on fundamental materials modeling with other DOE programs

• Develop multiple commercial software tools by cost-shared contracts with industry 

• Develop an interface platform for interactions among all models

CAEBAT

Overall Program

Element 4

Open Architecture

Software

(New Activity)

Element 3

Battery Pack 

Level Models

(Continued Activity)

Element 1

Electrode/Component

Level Models

(Continued Activity)

Element 2

Cell

Level Models

(Continued Activity)

Material-Level Models

Developed Under Other 

DOE BATT, ABR, & BES 

Programs

Industry/University Contracts for 

Development and Use of Design Tools

Approach
8

• Three industry teams, selected competitively, develop three separate 

validated battery design software tools with NREL as the technical 

monitor

• The teams hold monthly conference call and quarterly review 

meetings

• NREL extends its multi-physics battery models and shares them with 

subcontract teams

• ORNL develops the elements in Open Architecture Software

CAEBAT Approach

Team

Subcontract 

Signed

Project 

Budget

NREL Subcontract 

Budget

NREL Technical 

Monitor

EC Power 

(with PSU, JCI, and Ford 

Motor Company)

May 2, 2011 $3.0M $1.50 Shriram 

Santhanagopalan

General Motors 

(with ANSYS and ESim)

June 1, 2011 $7.15M $3.58M Gi-Heon Kim

CD-adapco

(with Battery Design LLC, 

JCI and A123 Systems)

July 1, 2011 $2.73M $1.37M Kandler Smith
9

GM Approach for Cell and Pack Level Simulation

• Strategy is to offer a wide range of methods allowing 

analysts to trade off computational expense vs. resolution

Cell Level Model •Reduced Order Models for electrochemistry

•Cell level performance including local cooling 

channels

System Level Model

•Construct a “linear” or “non-linear” 

system simulation model from the full 

pack simulation model 

Reduced Order Models •Reduced order models for flow and 

thermal analysis at the pack level

•Reduced order cell models

•Ability to “expand” results

Pack Level Model
10

GM Accomplishments

• First cell level tool released to GM team (Aug. 2012)

o NREL’s MSMD framework was implemented in FLUENT; complexity of multi- scale, multi-physics interactions has been resolved with MSMD

o All three electrochemistry sub-models were included (ECM, NTGK, P2D)

o The model is fully parallelized

o A detailed release note/tutorial was provided

• First pack level tool released to GM team (Jan. 2013)

o Multiple cells are automatically connected from CAE model detection

o Internal electric circuit model to speed up the potential field calculations

o Code is completely parallelized

• System level ROM development

o LTI system level model approach has demonstrated feasibilities for practical 

simulations of the entire pack for both air cooling and liquid cooling

o Reduced Order Model (ROM) research has been conducted and aimed at pack 

level simulation with a divide-and-conquer approach

o Simplorer-FLUENT co-simulation feature has been prototyped
11

Ohmic heat generation Total heat generation rate

Velocity field

Temperature

Pack Level Field Simulation

GM Technical Accomplishments – 1 

First cell and pack level tools released to GM team

• NREL’s MSMD framework implemented in FLUENT

• Code completely parallelized

• Electric circuit created automatically for the pack level by detecting the 

cell connections to speed up the potential field calculations

• All three electrochemistry sub-models included (ECM, NTGK, P2D) 
12

GM Technical Accomplishments - 2 

• Linear Parameter Varying(LPV) was implemented with a Linear-Time-Invariant 

(LTI) system theory to build a system level model with ROM to handle both 

variable flow rates and arbitrary heat generations

• Proper-Orthogonal-Decomposition (POD) is planned to decompose the 

temperature field into separable functions of time and space

• LPV demonstrated on GM 1x16 cylindrical air-cooled pack, with good results

Arbitrary 

heat source

Step response

Thermal responses and 

temperature profiles

Comparison with 

field simulation

Pack System Level Model with ROM
13

Prototype build for 24-cell module

CAD Geometry model

FLUENT simulations

Inflow

Outflow

GM Pack Level Validation in Progress
14

CD-adapco Approach & Strategy

• Produce electrical and thermal simulation tools applicable for 

spirally wound lithium-ion cell designs, both cylindrical and 

prismatic 

o Covering both complex electrochemistry and equivalent circuit 

approaches

o Add contemporary electrolyte formulations for use in the 

electrochemistry model

• Validate such models at the cell and module level with test work

o Both cell and module/pack level analysis will be carried out

• Include the created simulation models into the readily available 

3D multi-physics code STAR-CCM+, for combined flow, thermal 

and electrochemical simulation – proliferating the use of such 

methods

o A staged release of code included in this widespread CAE tool

Feature Complete Public Release – March 2013

19 Months into the Project
15

CD-adapco Technical Accomplishments – 1 

A detailed electrochemistry model was applied to a wound cell 

configuration, both at the single cell level and the module level

Model 

construction 

showing 

external can, 

internals and 

jelly rolls

Unwound 

electrodes 

showing current 

density

Pulse discharges from 

one jelly roll:

Graphs show integral 

heat generation (upper) 

and voltage (lower)
16

CD-adapco Technical Accomplishments – 2 

• The created electrochemistry model has been applied to 4 wound 

cells 

o JCI – Cylindrical VL6P & VL41M

o JCI – Prismatic PL27M & PL6P

• Single cell tests have been carried out to parameterise a model

• Drive cycle tests have been carried out to validate the model

o Results remain confidential

• An equivalent circuit model of a pouch cell has been created

o A123 Systems – Pouch 20 Ahr 

Experiment Result

STAR-CCM+

Time

Pouch experimental 

work courtesy of A123 

Systems 

Cell 

temperatures

Electrical validation
17

CD-adapco Technical Accomplishments – 3 

• A set of electrolyte properties for contemporary electrolytes has 

been added to the electrochemistry model

o Available in July 2013

• A first release of a calendar ageing model has been added to the 

electrochemistry model and is also available from March 2013

o Capturing SEI increase based on temperature and time

Ageing 

parameter 

inputs to model

Example of capacity change 

due to model

Virginal vs. 60 weeks @ elevated temp
18

EC Power Team Project Approach

Task 1: Materials 

Characterization 

EC Power Software: ECT3D

Task 2: Physiochemical ModelsTask 3: Advanced 

Algorithms

Task 4: Experimental 

Validation

Performance Safety Cycle Life

Feedback Suggestions

Capacity (mAh)

Voltage (V)

Temperature Increase (°C)

0 500 1000 1500 2000 2500 2

2.5

3

3.5

4

0

20

40

60

80

0.2C(0.44A)

1C(2.2A)

3C(6.6A)

4.6C(10A)

Discharge at 25°C

Model

Experimental data
19

EC Power Technical Accomplishments - 1 

• ECT3D v2 delivered to Ford and JCI for cell and pack simulations with:

o Pack thermal management design and optimization

o Pack-level electrochemical-thermal coupling: simultaneous electrochemical and thermal 

output (Fig. 1)

o Proof-of-concept nail penetration simulations for stacked electrode cells in pack (Fig. 2)

• AutoLion-3DTM (commercial version of ECT3D software) released Nov. 2012

• In-Situ current density measurements for large format cells– currently being used 

for model validation (Fig. 3)

-10

10

30

0.8

0.9

1

1.1

1.2

0 1000 2000 3000

Cell Temp 

(°C)

C-Rate

Time (s)

3 

250 500 

Time (s) 

2.5

2 

0 

Voltage (V) 

Fig. 1 Thermally driven current imbalance 

within pack during discharge

Fig. 2 Preliminary pack safety 

simulations

Fig. 3 In-Situ data showing nonuniform SOC during discharge
20

EC Power Technical Accomplishments - 2 

Li

+

negative electrode separator positive electrode

4M 

0.1M 

1M 

Electrolyte Concentration

Electrolyte distribution in a 

Li-ion cell under discharge

Cathode materials

• NCM

• LFP

• LMO

• others

Anode Materials

• Graphite (blended natural/synthetic)

• LTO

• others

100,000+ coin cells

• Materials Database: 100,000+ coin cells 

built and tested 

• Massive undertaking spanning length 

of project

• High-quality material properties lead to 

validated results for large format cells 

and packs

-30°C 100°C 

Data collected for electrolyte 

concentrations ranging from 

4 M to 0.1 M 

Preliminary Results for Blended Active 

Material Simulations

Capacity (mAh)

Current Percentage (%)

0 500 1000 1500 2000 0

50

100

NCM

LMO

LFP

Graphite : NCM-LMO-LFP

1C discharge

Tested Temperature Range for Materials
21

NREL Approach: Expand Multi-Physics Multi-Scale 

Multi-Dimensional (MSMD) Framework

Electrode Domain Submodel Development 

Solution Models & Method/Algorithms 

Particle Domain Submodel Development 

Solution Models & Method/Algorithms 

Cell Domain Submodel Development 

Solution Models & Method/Algorithms 

Modularized hierarchical architecture of the MSMD model allows independent 

development of submodels for physics captured in each domain

The modularized framework facilitates collaboration with experts across organizations

1D Spherical particle model Finite Element 

1D porous electrode model Reduced Order 

Approximation 

Finite Volume – 

Linear superposition 

2D cylindrical particle model Reduced 

Order Method

3D Single potential pair 

continuum model

Finite Element 

Method 

Finite Volume 

Method

3D wound potential pair 

continuum (WPPC) model

Examples

Examples

Examples
22

NREL Technical Accomplishments – 1 

NREL enhanced framework functionality of cell domain models/solution methods, providing 

complete tool sets for simulating all major cell form-factors; stack pouch, wound cylindrical, and 

wound prismatic cells

Stack Pouch Wound Prismatic (FY12 Focus) Wound Cylindrical

SPPC WPPC

Orthotropic Continuum Models for Cell Composites
23

NREL Technical Accomplishments – 2

Developed MSMD Wound Prismatic Cell Model

Positive terminal (+)

Negative terminal (-)

 

X(m)

Y(m)

1 2 3 4 5 6 7 8 9 0

X(m)

Y(m)

1 2 3 4 5 6 7 8 9 0

Y(m)

1 2 3 4 5 6 7 8 9 0

Thick cell

Nominal cell

Thin & wide cell

46.5 47 47.5 48 48.5 Transfer Kinetics

Prismatic wound cells

The model quantifies the impacts of the electrical/thermal pathway design on uneven 

charge-discharge kinetics in large format wound prismatic cells
24

ORNL Approach for Open Architecture Software

Develop interface platforms for successful collaboration across CAEBAT teams

• “Standardization of input” and of “Battery state” database

• Standard test problem(s)

• Standardized interfaces for cell, pack, etc. models

Experiments

(Industry, CAEBAT, 

ABR, BATT)

Battery 

Materials

Cell and 

Electrode Battery Pack

• Macro

• Thermal

• Electrical 

• Mechanical

• Macro-Micro • Thermal

• Electrical 

• Mechanical

• Electrochemistry

• Atomistic-Meso • DFT/MD

• Phase-field

• Mean-field

Validation

Virtual Integrated Battery 

Environment (VIBE)

Design

Manufacturing

Research

Validation Validation

Standardize Inputs

Battery State
25

ORNL Technical Accomplishments – 1 

On Track to Release New Version

OAS

• Capability is 

online (and 

available to 

partners)

• Integrated with 

Dakota 

optimization

• Improve 

workflow as well 

as portability to 

Windows

• Interfaces to the 

inputs and 

battery state 

standards

VIBE

• Electrochemicalthermal coupling

• Electrochemicalthermal-electrical 

coupling

• Integrate 

additional 

components 

(NREL models and 

ANL cost model)

• Demonstrate for 

complex 

geometries with 

new interfaces

• Mechanical

Standardized Input

• Comprehensive

relational database 

of materials, 

properties, models, 

components, etc.

• XML database and 

corresponding 

schemas

• Version 11. 

ANSYS/GM adopted 

this standard and 

translator for ECpower

• Translators for CDAdapco)

Battery State

• Define for cell to 

cell-sandwich 

coupling 

• Define for cell to 

pack coupling

• Issued version 1

Green – Completed

Blue – Ongoing
26

ORNL Technical Accomplishments – 2 

Coupling Various Physics at Cell Level 

341.4

298

T

4.253

0.0

φs 312.6

301.6

T

Cylindrical Cell with Current Collectors Resolved 

(Electrochemical – Thermal - Electrical)

328.0

314.8

T

Pouch Cell with Current Collectors Resolved 

(Electrochemical – Thermal - Electrical)

More details: http://thyme.ornl.gov/CAEBAT/home/home.cgi

Unrolled Cell (Electrochemical - Thermal) Unrolled Cell (Electrochemical –

Thermal - Electrical) Mechanical Abuse of 

Cylindrical Cell with Current 

Collectors Resolved 

(Electrochemical – Thermal 

– Electrical – Mechanical)

361.9

298

T
27

• NREL interactions with all team members

– General Motors, ANSYS, ESim

– CD-adapco, Battery Design, A123 Systems, JCI, and INL

– EC Power, Penn. State University, JCI, and Ford 

– ORNL

• ORNL interactions with CAEBAT team leads

– General Motors, ANSYS

– CD-adapco, Battery Design

– EC Power 

– University of Michigan and Sandia National Laboratory

• CAEBAT subcontractor collaborations with team members 

– General Motors, ANSYS, ESim

– CD-adapco, Battery Design, A123 Systems, and JCI

– EC Power, Penn State University, JCI, and Ford 

Collaborations and Coordination

ESim
28

Proposed Future Work

• Perform cell level verification and validation

• Develop model order reduction methods for the pack level

• Extend cell-level models for aging and abuse

• Perform pack level verification, validation, and demonstration

• Complete electrochemical model validation

• Complete build of each cells respective module

• Run remaining module tests

• Compare and validate module level work

• Validate large format, multi-dimensional models against In-Situ SOC, current 

density, and temperature data

• Further develop materials database with full mixed electrode capabilities 

• Develop an advanced particle domain model for better representation of 

complex kinetic/dynamic behavior of mixture composition of active particles

• Extend the MSMD paradigm to pack-level simulation to capture non-uniform 

electrochemical, electrical, thermal response over a pack

• Define battery state for cell-to-pack coupling and demonstrate the same

• Perform initial demonstration of the graphical user interface for setting up 

OAS, example cases, and launch simulations
29

Summary 

• CAEBAT activities consist of three parallel paths:

• Developing CAEBAT tools through cost-shared contracts with industry 

(GM, CD-adapco, EC Power)

• Enhancing and developing NREL in-house electrochemical battery model

• Developing an open architecture software at ORNL to link the CAEBAT 

battery models

• Each developer has made significant progress toward releasing beta 

version of their battery models

• EC Power has released AutoLionTM, a commercial version of ECT3D

• CD-adapco has released its tools for wound spiral cells in STAR-CCM+ 

• ANSYS (GM) is planning to release its version this summer

• NREL has hierarchal electrochemical-thermal models for all cell types 

and is extending them to modules

• ORNL has developed and distributed the first generation of the Open 

Architecture Software for linking various battery models.

• CAEBAT project is on track to deliver advanced battery design 

software tools
Reviewer-Only Slides
31

Responses to Previous Year’s Reviewers’ Comments – NREL

• The reviewers gave an average score of 3.71 out of 4.00. We appreciate it.

• On Question 1, does this project support the overall DOE objectives? 

o The Reviewers provided positive feedback that this project support the DOE objectives

• On Question 2, one reviewer raised concern about but the success of these indicated that 

previous TLVT was not used by battery developers

o We appreciate concern and that is why each CAEBAT team has one or two end-users to make sure the final 

product is useful and to be innovative, elegant, tractable and as user-friendly as the researchers could be so 

that the project could bring real benefit to the users. 

• On Question 3, one reviewer inquired whether there was any modeling work on tab locations 

(prismatic) on the long side

o Although there are no designs out there which considered such locations especially for EVs, we feel that based 

on testing of other cells, temperature data match well with those in real cells. 

• On Question 4, The second reviewer expressed real concern for the collaborations as programs 

with many participants have lost momentum 

o We appreciate the concern by this reviewer. Although there is a large number of participants in this program, 

there is three major smaller teams that each responsible to deliver a competitive products. So we feel the 

overall risk is less as the software venders in each team are working competitively and we believe, at least, 

one would be successful.

• On Question 5, The third reviewer asked how the final judgments would be made among the 

“three horses”, what criteria would be used to determine the success , and who would market 

the software. 

o ANSYS, CD-adapco and EC Power will market and sell their software. They will not be open source, but the 

open architecture software will be made available for free by ORNL. The cost modeling will got incorporated in 

the program; There are plans to develop abuse-tolerance models and they are underway by EC Power & GM.
32

Responses to Previous Year’s Reviewers’ Comments – ORNL 

• Question 2, Reviewer 1: “The first reviewer observed there were solid thoughts behind the approaches. Of course, the goals were 

rather grand and it would be interesting to see how the three programs were incorporated into this architecture.”

o We realize the goals are rather grand and thus we are using a very methodical way of building cell-level models with good 

definition of input/output before moving to cell-module and cell-pack coupling

• Question 2, Reviewer 2: This was such a complex area that if the program could discover or put together a model that could simplify 

and explain certain battery issues -to battery people with limited theoretical knowledge- could end up being very useful. 

o This is a very useful suggestion and after we finish developing the user interface, we will incorporate an “expert system” that 

interprets some common issues

• Question 3, Reviewer 1: The reviewer was curious how customizable the package would be. 

o This is very customizable (for e.g., various different cathode chemistries can be evaluated at once – this should address 

Reviewer 2’s question)

• Question 4, Reviewer 2: This reviewer highlighted the hope that at some point industrial battery companies would decide to engage 

a little more in this area of research and development. 

o We have started interacting with battery manufacturers

• Question 4, Reviewer 3: This reviewer encouraged monthly meetings with each and every one of the modeling teams/PIs feeding 

into this program, not just NREL. 

o We are having regular meetings with NREL/DOE and when needed talking to all the teams. 

• Question 5: The first reviewer questioned how ORNL planned to incorporate proprietary information into its model architecture. The 

second reviewer indicated that increased portability to Windows could be of great value. Similarly, the incorporation of a cost model 

could have important practical implications. 

o We have already made links to proprietary models and the users need to have access to the proprietary modules before they 

can use them in conjunction with OAS. We have already added increased portability to Windows and also linked to ANL cost 

model. 

• Question 6: The second reviewer supported this effort, but found $500,000/year to be a bit excessive for this activity. The overall 

work is important, but this reviewer did not believe it to be that hard or to require so much in the way of resources. It seemed to be 

mostly a coordination and computer/modeler interface design development and study. 

o This project has 5 different activities (OAS, VIBE, Input Standardization, Battery State and User Interface) and covers a very 

broad set of requirements in terms of supporting various models and various computing platforms such as Windows, Linux, 

Clusters, etc. and thus the need for allotted funding. 
33

Publications and Presentations - 1 

• Taeyoung Han, Gi-Heon Kim, Lewis Collins, “Multiphysics simulation tools power the 

modeling of thermal management in advanced lithium-ion battery systems,” ANSYS Quarterly 

magazine "Advantage", 2012

• Taeyoung Han, Gi-Heon Kim, Lewis Collins, “Development of Computer-Aided Design Tools 

for Automotive Batteries-CAEBAT,” Automotive Simulatiuon World Congress (ASWC), Detroit, 

October 2012.

• Xiao Hu, Scott Stanton, Long Cai, Ralph E. White, “A linear time-invariant model for solidphase diffusion in physics-based lithiumion cell models.,” Journal of Power Sources 214 

(2012) 40-50.

• Xiao Hu, Scott Stanton, Long Cai, Ralph E. White, “Model order reduction for solid-phase 

diffusion in physics-based lithium ion cell models,” Journal of Power Sources 218 (2012) 212-

220.

• Meng Guo, Ralph E. White, “A distributed thermal model for a Li-ion electrode plate pair,” 

Journal of Power Sources 221 (2013) 334-344.

• Kyu-Jin Lee et al., “Three Dimensional Thermal-, Electrical-, and Electrochemical-Coupled 

Model for Cylindrical Wound Large Format Lithium-ion Batteries”, J. of Power Sources, 2013, 

accepted

• Gi-Heon Kim et al., “Integrated multiscale lithium battery model”, 245th ACS National 

Meeting , April 7-11, 2013, New Orleans, Louisiana

• Ahmad Pesaran, et. al. “Accelerating Development of EV Batteries Through Computer-Aided 

Engineering,” Automotive Simulation World Congress, Detroit, MI, Oct 30-31, 2012
34

Publications and Presentations - 2 

• Gaetan Damblanc, “Multi-Scale Electrochemistry Modeling within CAE Software,” Advanced 

Automotive Battery Conference, Pasadena, CA, Feb ruary4-8, 2013

• Zhang, G., Shaffer, C. E., Wang, C. Y., & Rahn, C. D. (2013). In-situ measurement of current 

distribution in a li-ion cell. Journal of the Electrochemical Society, 160(4), A610-A615.

• Ji, Y., Zhang, Y., and Wang, C.Y. (2013). Li-Ion operation at low temperatures. Journal of the 

Electrochemical Society, 160(4), A636-A649.

• Yan Ji and C.Y. Wang (2013). Heating Strategies for Li-ion Batteries Operated from Subzero 

Temperatures. Elecrochimica Acta (accepted for publication).

• Featured in textbook: Rahn, C. D., & Wang, C. Y. (2013). Battery Systems Engineering. (1 ed.). 

John Wiley & Sons.

• “CAEBAT OAS BETA RELEASE V1,” S. Pannala, S. Allu, W. Elwasif, S. Simunovic, D. Bernholdt, 

and J. Turner, Internal report to CAEBAT partners 

• “Parameter Sweep and Optimization of Loosely Coupled Simulations Using the DAKOTA 

Toolkit,” Elwasif, W. R., D. E. Bernholdt, et al., IEEE 15th International Conference on 

Computational Science and Engineering (CSE), 2012.

• “Computational Framework for Modeling Multi-Physics Phenomenon of Li-Ion Batteries 

across Various Hierarchies”, S. Allu, S. Pannala, W. Elwasif, S. Simunovic, J.T. Turner, 

Electrochemical Society (ECS) PRiME Meeting, Honolulu, 2012.
35

Critical Assumptions and Issues

• Industry teams are able to resolve technical challenges by 

solving complex sets of equations in various scales so 

software tools are faster and can be run on typical consumer 

computers 

• Models developed by labs and CAEBAT subcontractors are 

open and accessible for exchange of information

• Cell and pack models are adequately validated with relevant 

data

• Open Architecture Software can link the major models across 

different platforms

• Software tools developed by CAEBAT are adopted widely by 

the battery community as whole