EVfleetSolutions by Motion.Inc

1. Motion EV Webservice
for Fleet owners/operators
Motion Inc. 2022

2. Ricoh＆
Motion
About
Motion
Optimising Social System
With our technology
Data-based optimisation of people and goods is
essential for companies to survive in today's society,
which is exposed to many environmental changes.
Motion's technology contributes to solving society's
problems by analysing and optimising issues in the
business scene based on the experience we have built
up since our founding.
Matching
Sharing
Transportation
Mobility
Portfolio
Scheduling
CEO:Kenichiro UESUGI

3. 3
我々は「データマイニング（統計解析）」を核にイノベーションを社会に提供することを
ミッションとし展開しています
About Us
Big Data Analysis
• Statistical analysis and system development by
data scientists.
• Seminar speakers on big data analytics.
• Writing books for Statistics for specialist
Web Services
• Statistical analysis and system development by
data scientists.
• Seminar speakers on big data analytics.
• Writing books for Statistics for specialist
Green Tech
• EV charger management system
• Ministry of the Environment and other green
related system dev. projects
• CO2/emissions management system dev.
Mobility
• Taxi dispatching and demand forecasting system
development
• Taxi Hailing Apps dev.
• Taxi Pool/Car Sharing Apps dev.

4. EV Fleet Solutions
Motion Overview ー 組合せ最適化技術で社会課題を解決するー
オンデマンド ライドシェア
VOLTA(ボルタ)
法人携帯電話管理サービス
EV充電器ネットワーク管理
EVタクシー普及促進/配車システム
タクシー需要予測・配車システム
需給マッチング
Last 1 Mile mob
MaaS
電費予測
充電スケジュール
EV 配車
組合せ最適化による
最適プラン
シミュレーション
ETC請求按分
組合せ
最適化
乗務員×
ダイヤ管理
車両管理システム
端末/ユーザー管理
請求按分
CO2排出量管理
ETC一括請求
按分サービス
車両管理サービス
充電器管理
タクシー配車
需要予測

5. Web Service for EV Fleet Management

6. Issues in EV fleet operation
Driving Range/SoC
Capacity of charging
facilities
Electricity tariff
based on demand peak
added operational load
Worries about running out
of battery power
Loss of business
opportunities due to
charging times or lack of
charging facilities
In many countries,
electricity contracts is
based on the time of
maximum demand
Planning charging
schedules, delivery plans
based on charging times
and SoC
Must contract on this Level
Vehicles start charging
on arrival at the garage.
Charging
Planing
Delivery planning
based on Charging
and SoC
Routing+
ReRouting

7. What We offer for fleet owners/operators
EV Shift simulation service
Simulate EV operation from your current operation
And calculate optimal charging schedules and electricity cost
Service1
Service2
We visualises equipment/vehicle costs for the EV shift, simulate charging schedule that
mimimises Electricity cost without affecting your fleet operation. The amount of CO2
you can reduce will also be estimated.
Web Kit Service
Electricity consumption forecasting, charge scheduling and charge output control
enable EV fleet operation without worrying about running out of battery and
the minimum necessary electricity consumption/cost.
Phase in EV fleet
operational issues
apparent
Phase in Planning
to replace ICE
with BEV
Provides functions for simulation-optimised EV operation in real-time and
unattended via APIs/SDKs for your current vehicle management system

8. EV Shift simulation service
Your Priority
Encourage your environmental contribution by optimising and visualizing
the costs and operations involved in EV shift.
Out of
business
On duty
Break
On
Duty
fuelling
Mileage
Operation
Schedule
fuel expenses
NOW
Site-wide Electricity
consumption
After EVs introduced
BEV
60％
HEV
30％
GAS
10％
No.of EVs to be introduced
Budget
CO2 reduction
target
Restrictions on
various contr.
Possible Power contract
Charging Schedule that takes
vehicle operation into account
Peak Control
Simulation
Minimum electricity cost

9. Web Kit Services
EV charging
scheduling
basedon
SoC+ECF
ECF
※electricity
consumption
forecasting
Vehicle
allocation
planning
Web Kit Service
Using SOC, electricity
consumption and past route
location data, the most suitable
vehicle is dispatched from the
fleet. Co-existence with fossil
fuel vehicles is also possible.
Enables levelling of the utilisation
rate of multiple charging stations,
output control during simultaneous
charging according to contracted
amperage, and advance
reservations according to EV
dispatch routes.
Our unique AI calculates
electricity consumption in real-
time based on SOC and various
parameters (weather, gradient,
traffic conditions, etc., and their
past data).
Charging Scheduling
EV Dispatching
ECF
EV fleet operations without replacing your existing
systems
We provides various functions for worry-free operation of a large number of EVs as
web kit service, such as APIs and SDKs, to customers' operation / fleet management
systems.

10. Service configuration image
Your Current System
・Operation management systems
・Dispatching Systems etc..
10
GPS data, Soc and
various vehicle data
Dispatching,
Routing control
Availability check
Charging control
We can provide appropriate
telematics devices
(JDM only)
Manage and operate
multiple vehicles
Effective use of
multiple chargers
By installing IoT devices in your fleets and charging facilities, and integrating the
various functions provided by Motion via the web into existing fleet management
systems, EVs can be operated without worrying about charging or running out of
power. Web Kit Service

11. Why you need EV charge management?
0
50
100
150
200
250
300
350
400
450
500
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
需要電力（ｋＷ）→
時刻→
0
50
100
150
200
250
300
350
400
450
500
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Electric
demand（ｋＷ）→
Time→
Electricity
Tariff
Electricity Consumption of your whole site
充電タイミングの集中
EV Web Kit
Service
Without Management
Electricity
Tariff
With
In many countries, electricity contracts is based on maximum demand.
With our web kit, the driver simply sticks the charging gun into the vehicle.
Our system controls the output of each charger.

12. What is Web Kit?
12
We can provide either whole web system or the parts to your engineer to add
the required functionality to your existing system
Ordinary Service
Function
A
Charger
management
Function
B
Function
C
Vehicle
management
Dispatching
System
Web Kit
Charger
management
Vehicle
management
Dispatching
System
Function
A
Function
C
Function
B
Function
C
Function
A
Implement the required functionality into
Your existing systems.
Ideal for fleet owners that has no existing system
Or want to replace current system
Function
A
Function
B
Function
C

13. Our peak control features
電力契約の上限のみを監視するピークカットのみ
Dynamically charging with the remaining battery
level and the amount of charge required takes
into account
Various remains of battery levels on
return
and tomorrow's driving schedule.
Next job is
about 10㎞
Next job is
about 70㎞
Full Charging is
essential
Next job is
about 200㎞
Only 20％
Charging is
enough
NO NEED
to charge
１１～7.00
Charging
8～12.00
Charging
21～7.00
Charging
Fully Charged for
10km job
charged 8
０％ for
70km job
Only 50%
Charged for
200km job.
50% short.
80% is
Enough for next
job！
70% is
Enough for
Next job!
Fully Charged for
next 200km job！
Ordinary
Peak Control
Our
Peak control
余分

14. 14
配車計画策定はもちろ
ん、リアルタイムで配
車組替えの必要な宅配
やタクシーなどでも利
用可能。
機能 概要
Battery Level Monitoring
Get Real-time battery status from each vehicle via ODBII.
If ODBII is not available, please contact us for discussion.
ECF
(Electricity Consumption Forecasting)
Calculate the future electricity consumption of each vehicle statistically in real
time.
Dispatching
Dispatching vehicles based on start and destination points, SoC, ECF and other
parameters (weather, traffic volume, etc.).
Charger Reservation
By connecting to a charger management system, charger reservations are made
in real time, taking into account vehicle dispatch scheduling.
Charging Scheduling
Efficiently reserving/controlling charger by ensuring that only the right capacity
is charged at the right time and by equalising the use of chargers, even if not all
vehicles are fully charged.
Peak Control
Peaks in electricity consumption will be spread out so that all vehicles can be
charged enough at the minimum contracted electricity amperage
Please contact us if you have a specific functionality requirement.
Key features

15. Our achievement

16. Public Charger management systems that can encourage average use of chargers
Vehicle tracking
Recommendations on timing
of charging to achieve average
level usage.
Centralised EV charger
Management
Real-time issuance of user IDs
Felica/one-time password
authentication
This system has been in operation for more than 3 years in Kanagawa, Osaka, Kyoto and other prefectures under
Project VOLTA, an electric vehicle charging infrastructure project jointly run by Kanematsu Corporation and
Kanematsu Communications Ltd.
Web System
Location
Data
Usage
Status
Scheduling／Automatic
Advance Reservation
16
Service2:サービス提供形態
Service2:サービス提供形態
-VOLTA- EV charger management system
Data Base
Charger Owner EV Owners
E-bike Owners

17. 17
Ministry of the Environment '2012 Global Warming Mitigation Technology R&D Project
This system has been in operation for more than 2 years
Japan Patent No5607427 /Sept 2014
Charging and dispatching management servers and systems.
Achievements
• EV’s Electricity consumption forecasting
• Automatic reservation of EV chargers
• Real-Time charging scheduling
• Taxi demand forecasting
EVOT - the optimal EV taxi dispatch system

18. Due to problems with electricity supply following the
earthquake in Tohoku, electric vehicle operations were
halted , so only the demand forecasting system and taxi
dispatch application developed by EVOT were made to
commercially available.
Rider App Drivers App
Drivers App
Other parameters
• Rider Location
• App operation status
• Taxi Usage history
Day of week, time, weather
Information on nearby events/transport delays
• Taxi demand forecasting
• Dispatching
• Availability of taxis in the surroundings
• Driver Location
• Seat Availability
18
Taxi Dispatching App「taxi net」

19. 19
• Booking function and authentication via
smartphone
• Calculation and display of possible
following distances based on battery
level calculation
• Route search taking battery replacement
into account
• Battery utilisation levelling
• Battery utilisation tracking
• Management of replacement station
operations
Achievements
Electric motorbike battery replacement station project
Ministry of the Environment-2012 Global Warming Mitigation Technology R&D Project
This system has been in operation for more than 2 years

20. 20
Electric bicycles sharing system using unmanned bicycle parking systems and Mobility services
with replacement battery stations.
• Bicycle sharing functionality and authentication via smartphones
• Unattended bicycle parking systems and operational management of battery
replacement status
• Linking of unattended bicycle parking systems with replacement battery stations
• Battery and vehicle usage management
Achievements
Unmanned bicycle parking
systems and charging
lockers with solar power
generator
Electric bicycles sharing/battery exchange system.

21. 事例：R社 社用車管理システム
21
SDG’sに準拠したCO2削減目標の達成にあたり、社用車を段階的にEV化すると同時に
社用車の私用利用を実現・管理するための予約・管理システムを開発
鈴木三
郎
鈴木三
郎
鈴木さ
ん
社用車管理システム
・社用車の社員への私用利用許可（公私分計）
・現在地や運航履歴（位置情報）
・車両管理（車両情報、リース情報、車検・点検履歴）
・CO2排出量の計算

22. © Motion Inc. All Rights Reserved.
22
A new last mile mobility service that is more flexible than buses and cheaper than taxis. We have been
conducting demonstration tests and services to provide comfortable travel and reduce environmental
impact.
Pains of Private car
commuting
• Ownership costs
• Commuter congestion
• Not being able to drink
alcohol
Environmental impact
of private vehicles
Approximately 6 % of all
CO2 emissions (63.9 million
tonnes) come from private
vehicles.
Pains of Existing public
transport
Buses with fixed routes
and timetables and
expensive taxis are not a
substitute for private cars
Towards an ageing
society
・Promoting the return of
licences from old drivers
・Drivers shortages and an
ageing population Taxi sharing service Ride-sharing services for
autonomous vehicle
Experimental Service
Ridesharing Service
Cosmos

23. © Motion Inc. All Rights Reserved.
23
その他、弊社事業について

24. © Motion Inc. All Rights Reserved.
24
・シフト作成に時間が掛かる
・働きやすい職場を作りたい
・現場の勤務状況を予定の段階で確認したい
・少ない人数で最大のパフォーマンスを発揮したい
働き方改革、業務効率化
シフト管理者
シフト作成にかかる時間を短
縮し業務の効率化を進めたい
乗務員の勤務シフトだけでなく、あらゆる事業
の
勤務シフトをクラウドサービスで簡単・最適化
会社とスタッフの条件をマッチング、最適化された勤務シフトを自動作成
スタッフ
働きやすい環境で自
分の能力を活かした
い
労務管理者
労務規定を守りつつハイパ
フォーマンスな現場であっ
てほしい
スタッフ画面で
やりとりを効率化
能力（スキル）を元に
誰でもシフト作成
応援（ヘルプ）で
人材を有効活用
勤務シフト最適化クラウドサービス“Optamo”（オプタモ）

25. © Motion Inc. All Rights Reserved. 25
各種報告書作成
電力・ガス・燃料メータ
（スマートメータ）
請求（ご利用）データ
・御社ビリングデータや、スマートメーターからのCO2排出量を計算
・交通事業者の路線別、企業等の部署・部門別等で集計・按分を行い、CO2排出量の
見える化を実現することでさらなる削減を促進
0
2000
4000
6000
8000
10000
12000
14000
16000
1 2 3 4 5 6 7 8 9 10 11 12
CO2排出量(t-CO2)
0
2000
4000
6000
8000
10000
12000
14000
本
社
東
北
営
業
所
東
海
営
業
所
関
西
営
業
所
本
社
別
館
（
研
究
室
）
達成率
-10
-5
0
5
10
15
20
25
30
本
社
関
西
営
業
所
東
北
営
業
所
東
海
営
業
所
本
社
別
館
（
研
究
室
）
CO2排出量（部門比較） 達成率（部門比較）
CO2排出量（時系列）
CO2排出量
管理システム
CO2排出係数
電力会社
CO2排出管理

26. © Motion Inc. All Rights Reserved. 26
AI（機械学習）・最適化の各種サービス
・AI（決定木）による機械学習 → 故障診断、需要予測など
・組み合わせ最適化→運行計画、車両メンテナンス計画・路線/ダ
イヤ作成など
全ての故障
65%, ○○系
35%, ××系
第１要因：車両の種類
72%, ○○の後
28%, ××の後
第２要因：直前の工程
要因を樹形図として
リストアップする
第３要因：・・・
配送計画
時間割
作業工程表
最適化の例
AI（機械学習）の例
その他 AI/最適化サービス

27. © Motion Inc. All Rights Reserved.
© Motion Inc. All Rights Reserved. 27
弊社データサイエンティストの紹介
略 歴
株式会社モーション 取締役 AI・データ分析室 室長
1999年、日本初のリコメンデーションシステム導入を契機に統計
解析の分野に携わる。以後20年にわたり統計手法を応用したシス
テム開発・コンサルティングを手がける。
統計データ分析関連著書多数。大妻女子大学 非常勤講師。
著書紹介
最新刊
文系プログラマーだからこそ身につけたい
ディープラーニングの動きを理解するための
数式入門
● 悩めるみんなの統計学入門 統計学で必ず押さえたい6つのキーワード
● 統計データをすぐに分析できる本
● 武器としてのデータ分析力 中西 達夫 + 畠 慎一郎 共著
● すぐれた判断は「統計データ分析」から生まれる
● 実用のための「微積」と「ラグランジアン」
● マンガでわかる超カンタン統計学
Our Chief Data Scientist

28. © Motion Inc. All Rights Reserved.
御覧いただきありがとうございました。
ご質問・ご要望等はこちらまでお願いいたします。
28
株式会社モーション (03-5816-4801)
モビリティソリューション事業部
和田 wada@motion.co.jp
EOF